-------- Forwarded Message -------- Subject: [wkwi] CfP: HICSS Mini Track Call for Papers: Drivers for Next Level Digital Service Innovation: Metaverse, IoT and Generative AI Date: Wed, 12 Apr 2023 20:41:07 +0000 From: Leimeister, JanMarco janmarco.leimeister@unisg.ch Reply-To: Leimeister, JanMarco janmarco.leimeister@unisg.ch To: wkwi@listserv.dfn.de wkwi@listserv.dfn.de
Apologies for duplicate postings and best regards
Jan Marco Leimeister
===Start
_Call for Papers: HICSS Mini Track - Drivers for Next Level Digital Service Innovation: Metaverse, IoT and Generative AI_
The minitrack aims to attract research on the innovation, design, development, management, and use of digital service innovations and new technological opportunities. The key drivers in this area of research are the multiplying technological opportunities for digital services stemming from generative AI (such as ChatGPT, and the metaverse, the Internet of Things (IoT), virtual/augmented reality, web3, and so on. The minitrack provides//a discussion forum for researchers interested in theoretical and practical problems related to such service innovations [1-4].
In a broad sense, digital services can be defined as systems that enable value co-creation and limit value co-destruction by developing and implementing ICT-enabled processes that integrate system value propositions with customer value drivers [5-7]. Such services meld the worlds of bits and atoms and promise to transform many sectors like the media industries before them. They draw on different technologies such as sensors, real-time analytics of data, augmented and virtual realities, computer hardware, software, and human and system actors. Such technologies form a service platform where different actors [8] assemble the service together /in situ/, as argued by Grönroos [9]. As a result, the embedded systems of today and the Internet-of-things of tomorrow are the precursors for the upcoming era of cybernized services [10]. Examples of such services are, e.g. biomedical and healthcare systems such as telerobotic surgery, (semi)autonomous vehicles and intelligent highways, augmented human capabilities with body net sensors and virtual reality, and intelligent machines.
Furthermore, there are substantial opportunities for ICT and digitalization driven service innovation in industrial and business-to-business settings. These opportunities exist particularly in manufacturing, where innovation activities increase product digitization and production processes. We see that the global awareness of the power of the manufacturing industry will be linked to horizontal cyber-physical systems that enable value co-creation and co-destruction in the networked business environment. The cyber-aspects of such systems are ICT infrastructure, computer hardware, software, and different kind of sensors and actors. These components turn cyber-physical systems into platforms for designing and operating services. The data on products and processes gained through networked cybernized services and the ability to act on this data through control systems and actors enables novel ways of co-creating service in industrial contexts.
This emerging area of research raises interesting questions [11]. For example, traditional development approaches focus on improving the efficiency and effectiveness of organizational processes. However, the design of such services may require an emphasis on the socio-psychological aspects, such as the value-in-use and user/consumer/co-creator experiences. Digital services create novel ways of engaging customers and other actors in service ecosystems, raising the question of effective patterns of such digital actor engagement [5-8]. Moreover, digital services facilitate data-driven and analytics-based service design and development, particularly if the service is linked to the physical world through sensors and/or people’s interactions.
The shift of consumer and enterprise personnel fromuserstoco-creators and co-destructors of value, calls for a significant re-appraisal of our current design and development approaches. Relevant topics for this minitrack include (but are not limited to):
Digital and ICT-enabled services, industrial services, mobile services, and consumer information services and systems, and more specifically:
Discovery, fuzzy-front end, and innovation processes
Continuous and experimental service design, and development processes and methodologies
Analytics supported service design and development
Design and evaluation of innovative digital services
Service ecosystems, platforms and novel architectures
Consumer and enterprise user aspects, novel forms of actor engagement
Service ecosystems and effective patterns of actor engagement in digital services
Hedonic ICT enabled service innovations
Socio-psychological aspects of ICT enabled service use
Understanding social and cultural contexts
Cyber-Physical and IoT enabled service innovations
Metaverse, Generative AI, Cyber-Physical and IoT enabled services from different disciplinary perspectives, such as, information systems, operations research, software engineering, service science, and service research
Service innovation based on generative AI enabled services (such as ChatGPT, etc.)
Metaverse and IoT service ecosystems, platforms and novel architecture for service innovation
Theoretical aspects of Metaverse, Cyber-Physical and IoT enabled services research
Metaverse, Generative AI augmented, Cyber-Physical and IoT enabled services as artifacts
Generative Artificial-intelligence enabled services:
Service Robots and Service Robot enabled services
Services enabled by natural language assistants
Human-machine interaction in AI-enabled services
Operational aspects of AI-enabled services, e.g. monitoring and support
Ethical and regulatory considerations in designing AI-enabled services
New technology enabled services, e.g. services using smart television, smart watches, wearables, mobile devices and phones or other technologies like augmented/virtual reality, blockchain, IoT etc.
Metaverse and Web3 enabled services:
New decentralized service innovations
Service automation with Web3 technologies
The submission system opens: 15th April Submission deadline: 15th June
Please see https://hicss.hawaii.edu%C2%A0for further details and author instructions.
Best regards,
Tilo Böhmann Jan Marco Leimeister Tuure Tuunanen
===END
------------------------------------------------------------------------ *From:* Leimeister, JanMarco *Sent:* Thursday, April 13, 2023 4:40:17 AM *To:* wi@lists.kit.edu wi@lists.kit.edu *Subject:* CfP: HICSS Mini Track Call for Papers: Drivers for Next Level Digital Service Innovation: Metaverse, IoT and Generative AI Apologies for duplicate postings and best regards
Jan Marco Leimeister
===Start
_Call for Papers: HICSS Mini Track - Drivers for Next Level Digital Service Innovation: Metaverse, IoT and Generative AI_
The minitrack aims to attract research on the innovation, design, development, management, and use of digital service innovations and new technological opportunities. The key drivers in this area of research are the multiplying technological opportunities for digital services stemming from generative AI (such as ChatGPT, and the metaverse, the Internet of Things (IoT), virtual/augmented reality, web3, and so on. The minitrack provides//a discussion forum for researchers interested in theoretical and practical problems related to such service innovations [1-4].
In a broad sense, digital services can be defined as systems that enable value co-creation and limit value co-destruction by developing and implementing ICT-enabled processes that integrate system value propositions with customer value drivers [5-7]. Such services meld the worlds of bits and atoms and promise to transform many sectors like the media industries before them. They draw on different technologies such as sensors, real-time analytics of data, augmented and virtual realities, computer hardware, software, and human and system actors. Such technologies form a service platform where different actors [8] assemble the service together /in situ/, as argued by Grönroos [9]. As a result, the embedded systems of today and the Internet-of-things of tomorrow are the precursors for the upcoming era of cybernized services [10]. Examples of such services are, e.g. biomedical and healthcare systems such as telerobotic surgery, (semi)autonomous vehicles and intelligent highways, augmented human capabilities with body net sensors and virtual reality, and intelligent machines.
Furthermore, there are substantial opportunities for ICT and digitalization driven service innovation in industrial and business-to-business settings. These opportunities exist particularly in manufacturing, where innovation activities increase product digitization and production processes. We see that the global awareness of the power of the manufacturing industry will be linked to horizontal cyber-physical systems that enable value co-creation and co-destruction in the networked business environment. The cyber-aspects of such systems are ICT infrastructure, computer hardware, software, and different kind of sensors and actors. These components turn cyber-physical systems into platforms for designing and operating services. The data on products and processes gained through networked cybernized services and the ability to act on this data through control systems and actors enables novel ways of co-creating service in industrial contexts.
This emerging area of research raises interesting questions [11]. For example, traditional development approaches focus on improving the efficiency and effectiveness of organizational processes. However, the design of such services may require an emphasis on the socio-psychological aspects, such as the value-in-use and user/consumer/co-creator experiences. Digital services create novel ways of engaging customers and other actors in service ecosystems, raising the question of effective patterns of such digital actor engagement [5-8]. Moreover, digital services facilitate data-driven and analytics-based service design and development, particularly if the service is linked to the physical world through sensors and/or people’s interactions.
The shift of consumer and enterprise personnel fromuserstoco-creators and co-destructors of value, calls for a significant re-appraisal of our current design and development approaches. Relevant topics for this minitrack include (but are not limited to):
Digital and ICT-enabled services, industrial services, mobile services, and consumer information services and systems, and more specifically:
Discovery, fuzzy-front end, and innovation processes
Continuous and experimental service design, and development processes and methodologies
Analytics supported service design and development
Design and evaluation of innovative digital services
Service ecosystems, platforms and novel architectures
Consumer and enterprise user aspects, novel forms of actor engagement
Service ecosystems and effective patterns of actor engagement in digital services
Hedonic ICT enabled service innovations
Socio-psychological aspects of ICT enabled service use
Understanding social and cultural contexts
Cyber-Physical and IoT enabled service innovations
Metaverse, Generative AI, Cyber-Physical and IoT enabled services from different disciplinary perspectives, such as, information systems, operations research, software engineering, service science, and service research
Service innovation based on generative AI enabled services (such as ChatGPT, etc.)
Metaverse and IoT service ecosystems, platforms and novel architecture for service innovation
Theoretical aspects of Metaverse, Cyber-Physical and IoT enabled services research
Metaverse, Generative AI augmented, Cyber-Physical and IoT enabled services as artifacts
Generative Artificial-intelligence enabled services:
Service Robots and Service Robot enabled services
Services enabled by natural language assistants
Human-machine interaction in AI-enabled services
Operational aspects of AI-enabled services, e.g. monitoring and support
Ethical and regulatory considerations in designing AI-enabled services
New technology enabled services, e.g. services using smart television, smart watches, wearables, mobile devices and phones or other technologies like augmented/virtual reality, blockchain, IoT etc.
Metaverse and Web3 enabled services:
New decentralized service innovations
Service automation with Web3 technologies
The submission system opens: 15th April Submission deadline: 15th June
Please see https://hicss.hawaii.edu%C2%A0for further details and author instructions.
Best regards,
Tilo Böhmann Jan Marco Leimeister Tuure Tuunanen
===END