Introduction to Analytics, Informatics and Decision Support for Sustainability Minitrack

The final report of the World Commission on the Environment and Development, also known as the Brundtland Report, defines sustainable development as development that meets the needs of the present with-out compromising the ability of future generations to meet their own needs . Subsequent international efforts such as the Rio de Janeiro Conference in 1992, the publication of Agenda 21, the Rio+5 special session of the United Nations (UN) in 1997, the formation of the World Business Council for Sustainable Development in 1997, and the Rio+20 UN Conference on Sustainable Development can be credited with raising environmental concerns to increase public awareness, serving as an initial focus and impetus for collaboration as well as conflict between government, industry, and academia. The Johannesburg Plan of Implementation , revealed at the Earth Summit 2002, affirmed commitment by the UN to fully implement Agenda 21. Environmental management systems standards (EMSS) such as ISO 14001 and the European Eco-management and Audit System (EMAS) provide a sound practical basis for environmental management within organizations. Information systems (IS) support both immediate action and sustainable long-term strategies, helping to address the urgency and scope of environmental problems. This mini-track emphasizes the significant research synergies that exist between IS and environmental management for sustainable development from an organizational as well as a technical perspective. Collaboration and cross-fertilization between these domains can be mutually beneficial and may in fact present unique, timely and socially relevant \u27real-world\u27 research opportunities as well as viable public sources of empirical ecological information for interdisciplinary research and application. The mini-track accommodates both research articles and practitioner reports exploring technical and organizational issues that pertain to the development, implementa- ion, and deployment of IS in sustainable development. This year\u27s conference has attracted contributions along two broad themes. The first theme centers around global scenarios and information management. In that regard, New lands et al. describe an integrated model for exploring potential impacts of global changes on the Canadian agricultural system. The methodology integrates stakeholder/expert knowledge, empirical and process-based model algorithms using remote-sensing and national agri-environmental datasets. With respect to energy and carbon emissions, Melville and Saldanha present the results of an exploratory empirical analysis into the extent to which regulations (Kyoto Protocol and UNFCCC) and management practices (carbon emission reduction targets and managerial incentives) are associated with their adoption. The results suggest that managerial incentives and carbon reduction targets are strongly associated with the adoption of information systems for managing environmental resources. With the proliferation of EMIS, Jamous et al. explores issues and requirements pertaining to the development of EMIS with a particular emphasis on the development of a Light-Weight Composite Environmental Performance Indicators (LWC-EPI) solution. The second theme centers on stakeholder knowledge. Rogers et al. use agent-based modeling to study the complexities associated with making decisions in an IT/S project context. The findings reveal variations in the types of project decisions, and show that the inclusion of environmental considerations improves the financial and environmental benefits of the resulting project portfolio. Scharl et al. also focus on environmental decision making by presenting a Web intelligence and visual analytics platform to aggregate, integrate and analyze climate change knowledge from multiple stakeholders. Gray et al. recognize the importance of stakeholder knowledge in environmental decision making by proposing a participatory modeling tool ba

Celebrating HICSS50: The Past, Present, and Future of HICSS

The Hawaii International Conference on System Sciences (HICSS) celebrated its 50th anniversary (HICSS-50) in January, 2017. To mark the occasion and to pay respect to the significant standing of this conference in the global IS community, the Communications of the Association for Information Systems (CAIS) organized a special section on “Celebrating HICSS50: The Past, Present, and Future of HICSS Conference”. In this editorial, we share the guest editors’ perspectives on HICSS and summarize the three papers in the special section

From knowledge co-creation to value co-creation and beyond: challenging global emergency in smart service systems.

The study seeks to investigate the impact of pandemic on teaching and learning processes involved in Higher Education (HE) by analysing the way in which knowledge exchange and value co-creation are reframed through ICTs and technology. The adoption of the interpretative lens of Service Science permits to reread HE as a smart service system. The empirical research, based on content analysis as an inquiry, analyses: 1) the transformations introduced in technology adoption, information sharing, knowledge and value co-creation to comply with the disruption “imposed” by the the sanitary emergency; 2) the way in which this transformation can introduce novelties in Higher education system. The results identify the different drivers for value and knowledge co-creation that can be implemented in technology-enhanced teaching and learning and the different novelties that can be generated from the emergence of innovation

The relationship between IT infrastructure leveraging, talent management and operational sustainability, and their effects on the business value of the operations strategy

The purpose of this research is to examine the role of information technology (IT) in the adoption of human resources (HR) and environmental management activities, a research topic that has not received much attention in prior literature. Drawing on the theory of operational and dynamic capabilities, we propose a model in which IT infrastructure leveraging enables the firm to create value from its operations management both directly and indirectly through talent management and operational sustainability. We test the model using the structural equation modeling (SEM) technique with an innovative secondary data set collected for a sample of 63 large firms. The empirical analysis suggests that IT infrastructure leveraging enables the firm’s proficiency to manage talent, which in turn facilitates execution of a more sustainable operations strategy to increase firm performance. The analysis also shows that IT infrastructure leveraging impacts firm performance directly in the long-term

Designing Information Technology Governance in Trading Companies Using COBIT 2019 Framework

Mooi Brand Salatiga, a company in the clothing retail sector, has implemented various information systems (IS) to enhance its business processes. These systems include social media platforms such as WhatsApp, Instagram, and Facebook, a Sales Information System for cashiers, and a website. However, Mooi Brand Salatiga often encounters several challenges with the use of these IS, including the lack of system integration, an overreliance on current technology, and an inability to develop independent information systems. COBIT 2019, a systematic and comprehensive framework, offers potential solutions to support companies in efficiently managing and monitoring their information technology. This study leads to the development of an improved pattern for information technology management at Mooi Brand Salatiga, addressing these challenges and paving the way for enhanced operational efficiency and technological autonomy

The overview-analytical document of the international experience of building smart city

The population of the planet is constantly growing, people are moving to the cities. Recently, more and more interest is being given to smart cities as a guarantee of at least comfortable living of citizens, as a maximum – an ultramodern autonomous city with artificial intellect, anticipating the needs of residents, capable of functioning autonomously for a long time. The purpose of the article is to analyze the experience of smart cities, highlight the distinctive and common features and outline the initial stages of the route map for the development of a specific city into a smart city. After the study, it became clear that the concept of “smart city” is very broad, scientists are investing a huge number of parameters that characterize a smart city, but it was possible to identify common characteristics. Also, the hypothesis was tested that the city’s urbanization should be oriented towards the inhabitants of this city, i.е. implemented not by a single algorithm, but by an algorithm that is adapted to the needs of a particular city. We proposed a methodology for the preparatory stage of the city’s self-mastering, which is based on expert assessments by a prior ranking, includes 2 stages and which was tested on the example of Odessa (Ukraine). At the first stage, the questionnaire contained questions about the six main characteristics of a smart city. At this stage three characteristics were singled out, which are of particular concern to Odessa citizens and the second survey contained 36 clarifying questions only for these three characteristics. The results allowed to distinguish 6 characteristics from which it is necessary to start Odessa’s growth as a smart city

Building Dynamic Service Analytics Capabilities for the Digital Marketplace

Service firms are now interacting with customers through a multitude of channels or touchpoints. This progression into the digital realm is leading to an explosion of data, and warranting advanced analytic methods to manage service systems. Known as big data analytics, these methods harness insights to deliver, serve, and enhance the customer experience in the digital marketplace. Although global economies are becoming service-oriented, little attention is paid to the role of analytics in service systems. As such, drawing on a systematic literature review and thematic analysis of 30 in-depth interviews, this study aims to understand the nature of service analytics to identify its capability dimensions. Integrating the diverse areas of research on service systems, big data and dynamic capability theories, we propose a dynamic service analytics capabilities (DSAC) framework consisting of management, technology, talent, data governance, model development, and service innovation capability. We also propose a future research agenda to advance DSAC research for the emerging service systems in the digital marketplace

Identifying the drivers of blockchain adoption within supply chains

Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced AnalyticsIn order to understand the applicability of blockchain technology to Supply Chains, this thesis intends to deliver insights on its adoption with a two-part study, that combines a literature review and a theoretical framework where adoption drivers are identified. The approach consists on the research and review of all available publications published within the AISNET’s basket of eight journals on the topic Blockchain and a list of selected top IS conferences, with the utilization of a unique interpretation framework and focus on the avenues of research provided by these articles, gathering information in order to create discussion debates, grouped by the unit of analysis identified, within Supply Chain. Following the Design Science Research (DSR) methodology and focusing on defining, validating and reducing a myriad of factors, derived from the literature review, with the aid of experts on both blockchain and supply chain fields, through means of questionnaires, factors were rated and refuted according to the relevance given. Two rounds narrowed the results, and upon consensus 9 drivers were identified fitting under two categories: Challenges and Incentives. Overall, providing academics with a theoretical framework that combines existing literature into a set of drivers, and providing insights to vendors on how their reputation may influence clients' adoption, whilst fulfilling a literature gap in the supply chain area