A Meta-Analysis of Smart City Research and Its Future Research Implications

The aspired potentials of the "Smart City" (SC) and its deficits in practice are essential reasons why the subject is assigned to a rapidly growing body of literature. This situation requires a specific review of the literature summarizing the research efforts to date into research branches and topics, unifying essential basic concepts and thus forming a solid basis for futher research. The present study first derives a basic structure of research by an analysis of the available literature reviews. Subsequently, a systematic examination of SC literature by means of an EBSCO data query identifies the current research topics and compiles a comprehensive view of the research topics. The present study is therefore not only of interest for scientific use, but also offers practitioners an overview of the various sub-areas of a SC, as well as of the currently available findings and experiences in relation to the implementation of SC (sub-)projects

Citizen Preferences toward e-Government City Portals - An empirical Analysis of Full Online, Mobile and Social Media Services

Governments worldwide increasingly provide public services via e-Government city portals. During the last decade, e-Government practice has developed from a rudimentary use to an establishment of holistic citizen platforms offering different public e-Services. Recently, public e-Service provision has shifted toward three main developments involving full online service provision, public social media, and mobile government. Despite practical significance regarding these emerging trends and corresponding adapted citizen needs, understanding city portal user preferences is a neglected research issue. Therefore, this study carries out an explorative research approach to get insights into citizen preferences in order to provide implications for an efficient portal management and to contribute to the current scientific discourse regarding user-centric e-Government

Business Model Development: A Customer-Oriented Perspective

Managers are increasingly confronted with environmental disruptions and changing customer preferences that require continuous business model development. Given this situation, it is surprising that there is only a limited understanding of business model development that builds upon customer-orientation. Therefore, this study presents a framework for customer-oriented business model development. The findings underline the importance of customer-orientation and suggest the use of customized customer-oriented development sets for a systematic approach that takes into account distinctive customer groups, business model change intensity, and business model development types. The presented framework provides fruitful avenues for future research and valuable guidance for management

Разработка автоматической системы регулирования температуры перегретого пара парогенератора БКЗ- 220-100 Степногорской ТЭЦ

Целью работы является разработка АСР температуры перегретого пара парового котла с использованием современных технических средств автоматизации. В ходе выполнения работы была разработана конструкторская документация, осуществлен подбор технических средств автоматизации, а также разработано прикладное программное обеспечение. В дополнительных разделах была проведена оценка коммерческой ценности проекта и представлены меры по снижению вредных и опасных факторов.The aim of the work is to develop ACS temperature of superheated steam in a steam boiler, using modern technical means of automation. In the course of work the design documentation was developed, the selection of technical means of automation was carried out, and the applied software was developed. In additional sections, the commercial value of the project was assessed and measures to reduce harmful and hazardous factors were presented

“So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy

Transformative artificially intelligent tools, such as ChatGPT, designed to generate sophisticated text indistinguishable from that produced by a human, are applicable across a wide range of contexts. The technology presents opportunities as well as, often ethical and legal, challenges, and has the potential for both positive and negative impacts for organisations, society, and individuals. Offering multi-disciplinary insight into some of these, this article brings together 43 contributions from experts in fields such as computer science, marketing, information systems, education, policy, hospitality and tourism, management, publishing, and nursing. The contributors acknowledge ChatGPT’s capabilities to enhance productivity and suggest that it is likely to offer significant gains in the banking, hospitality and tourism, and information technology industries, and enhance business activities, such as management and marketing. Nevertheless, they also consider its limitations, disruptions to practices, threats to privacy and security, and consequences of biases, misuse, and misinformation. However, opinion is split on whether ChatGPT’s use should be restricted or legislated. Drawing on these contributions, the article identifies questions requiring further research across three thematic areas: knowledge, transparency, and ethics; digital transformation of organisations and societies; and teaching, learning, and scholarly research. The avenues for further research include: identifying skills, resources, and capabilities needed to handle generative AI; examining biases of generative AI attributable to training datasets and processes; exploring business and societal contexts best suited for generative AI implementation; determining optimal combinations of human and generative AI for various tasks; identifying ways to assess accuracy of text produced by generative AI; and uncovering the ethical and legal issues in using generative AI across different contexts

“So what if ChatGPT wrote it?”:Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy

Transformative artificially intelligent tools, such as ChatGPT, designed to generate sophisticated text indistinguishable from that produced by a human, are applicable across a wide range of contexts. The technology presents opportunities as well as, often ethical and legal, challenges, and has the potential for both positive and negative impacts for organisations, society, and individuals. Offering multi-disciplinary insight into some of these, this article brings together 43 contributions from experts in fields such as computer science, marketing, information systems, education, policy, hospitality and tourism, management, publishing, and nursing. The contributors acknowledge ChatGPT’s capabilities to enhance productivity and suggest that it is likely to offer significant gains in the banking, hospitality and tourism, and information technology industries, and enhance business activities, such as management and marketing. Nevertheless, they also consider its limitations, disruptions to practices, threats to privacy and security, and consequences of biases, misuse, and misinformation. However, opinion is split on whether ChatGPT’s use should be restricted or legislated. Drawing on these contributions, the article identifies questions requiring further research across three thematic areas: knowledge, transparency, and ethics; digital transformation of organisations and societies; and teaching, learning, and scholarly research. The avenues for further research include: identifying skills, resources, and capabilities needed to handle generative AI; examining biases of generative AI attributable to training datasets and processes; exploring business and societal contexts best suited for generative AI implementation; determining optimal combinations of human and generative AI for various tasks; identifying ways to assess accuracy of text produced by generative AI; and uncovering the ethical and legal issues in using generative AI across different contexts