2,561 research outputs found

    Undergraduate Catalog of Studies, 2023-2024

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    AI Management Beyond Myth and Hype: A Systematic Review and Synthesis of the Literature

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    Background: AI management has attracted increasing interest from researchers rooted in many disciplines, including information systems, strategy, and economics. In recent years, scholars with interests in these diverse fields have formulated similar research questions, investigated similar research contexts, and even often adopted similar methodologies when studying AI. Despite these commonalities, the AI management literature has largely evolved in an isolated fashion within specific fields, thereby impeding the development of cumulative knowledge. Moreover, views of AI’s anticipated trajectory have often oscillated between unjustifiably optimistic assessments of its benefits and extremely pessimistic appraisals of the risks it poses for organizations and society. Method: To move beyond the polarized discussion, this work offers a systematic review of the vast, interdisciplinary AI management literature, based on analysis of a large sample of articles published between 2010 and 2022. Results: We identify four main research streams in the AI management literature and associated, conflicting discussion, concerning four (data, labor, critical, and value) dimensions. Conclusion: The review conceptually and practically contributes to the IS field by documenting the literature’s evolution and highlighting avenues for future research trajectories. We believe that by outlining four key themes and visualizing them in an organized framework the study promotes a holistic and broader understanding of AI management research as a cross-disciplinary effort, for both researchers and practitioners, and provides suggestions that extend the framing of AI beyond myth and hype

    Challenges and potential of monotowns: a systematic literature review

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    Relevance. Monotowns, or single-industry settlements, are pivotal in the economic and social landscapes of former Soviet countries. This systematic literature review explores monotowns, examining their evolution, challenges and implications of these unique urban formations from the 18th century to the present day. The study’s relevance lies in its comprehensive analysis of these towns, which have been significant yet underexplored in academic discourse.Research objective. The objective of this review is to critically examine the multifaceted nature of monotowns, focusing on their socio-economic dynamics, challenges, and potential transformation. The review aims to elucidate the complex interplay of economic, social, and political factors that shape these towns and to identify unexplored areas in this field of study.Data and Methods. To achieve these objectives, the study employs a systematic review protocol comprising four phases: search query, document type, publication stage, and language. This approach involves analyzing a wide range of sources from international and regional databases, ensuring a holistic view of monotowns that captures both historical and contemporary perspectives.Results. Monotowns exhibit considerable resilience amidst economic fluctuations and confront distinct socio-economic challenges, including issues specific to mining monotowns and issues related to public health. The findings underscore the importance of adaptive strategies, corporate social responsibility, and proactive government intervention in addressing these challenges.Conclusion. This review provides a comprehensive exploration of monotowns, contributing valuable insights for future research, particularly in understanding their socio-economic dynamics and the challenges they face. The study is significant for scholars in economic development of the territories and business studies, offering a foundation for further exploration of these unique urban formations

    Distributed Ledger Technology (DLT) Applications in Payment, Clearing, and Settlement Systems:A Study of Blockchain-Based Payment Barriers and Potential Solutions, and DLT Application in Central Bank Payment System Functions

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    Payment, clearing, and settlement systems are essential components of the financial markets and exert considerable influence on the overall economy. While there have been considerable technological advancements in payment systems, the conventional systems still depend on centralized architecture, with inherent limitations and risks. The emergence of Distributed ledger technology (DLT) is being regarded as a potential solution to transform payment and settlement processes and address certain challenges posed by the centralized architecture of traditional payment systems (Bank for International Settlements, 2017). While proof-of-concept projects have demonstrated the technical feasibility of DLT, significant barriers still hinder its adoption and implementation. The overarching objective of this thesis is to contribute to the developing area of DLT application in payment, clearing and settlement systems, which is still in its initial stages of applications development and lacks a substantial body of scholarly literature and empirical research. This is achieved by identifying the socio-technical barriers to adoption and diffusion of blockchain-based payment systems and the solutions proposed to address them. Furthermore, the thesis examines and classifies various applications of DLT in central bank payment system functions, offering valuable insights into the motivations, DLT platforms used, and consensus algorithms for applicable use cases. To achieve these objectives, the methodology employed involved a systematic literature review (SLR) of academic literature on blockchain-based payment systems. Furthermore, we utilized a thematic analysis approach to examine data collected from various sources regarding the use of DLT applications in central bank payment system functions, such as central bank white papers, industry reports, and policy documents. The study's findings on blockchain-based payment systems barriers and proposed solutions; challenge the prevailing emphasis on technological and regulatory barriers in the literature and industry discourse regarding the adoption and implementation of blockchain-based payment systems. It highlights the importance of considering the broader socio-technical context and identifying barriers across all five dimensions of the social technical framework, including technological, infrastructural, user practices/market, regulatory, and cultural dimensions. Furthermore, the research identified seven DLT applications in central bank payment system functions. These are grouped into three overarching themes: central banks' operational responsibilities in payment and settlement systems, issuance of central bank digital money, and regulatory oversight/supervisory functions, along with other ancillary functions. Each of these applications has unique motivations or value proposition, which is the underlying reason for utilizing in that particular use case

    Undergraduate Catalog of Studies, 2022-2023

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    Multicriteria Decision Making in Sustainable Tourism and Low-Carbon Tourism Research: A Systematic Literature Review

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    Multicriteria Decision Making (MCDM) is increasingly being utilized as an analytical research tool for sectors that require decision-making with specific objectives and constraints, such as the tourism industry. Sustainable tourism, which examines the balance of numerous aspects, including stakeholders’ interests, is the critical feature propelling the increased usage of MCDM. This paper explores the use of Multicriteria Decision Making (MCDM) methods applied in studies of sustainable tourism and its derivative term, low-carbon tourism, using a systematic literature review (SLR) search from the Scopus database. The analysis has identified 189 relevant studies published between 1987 to April 2022. After selection, screening, and synthesizing processes, we selected 135 pertinent studies, which were analysed in general descriptive data, citation impacts, geographical categorization, categorization of the methodologies’ objectives, and possible trajectories of similar research in the future. We find that highly cited authors and articles are related to sustainable tourism indicators\u27 development and case studies. Furthermore, most relevant studies are concentrated in Asia and Europe rather than other regions. We also categorize the reviewed studies into six classifications depending on each method\u27s intended usage and further suggest four contexts for the studies’ future trajectory

    The calling songs of some katydids (Orthoptera: Tettigonioidea) from the tropical forests of Southeast Asia

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    Katydids produce sound by stridulation of the tegmina for signalling and communication. Most katydids are known to sing at ultrasonic frequencies, as compared to crickets. This has drawn interest to investigate the biophysics of ultrasonic sound production and detection, evolution and ecology (including predator–prey interactions) of these katydids. However, most of these studies are based on species from the neotropics, whereas nearly nothing is known about the relatives from another hyper-diverse region, i.e., Southeast Asia. To address this, a concerted effort to document, record and describe the calling songs of Southeast Asian katydids, especially species which calls at ultrasonic frequencies, were conducted. A study spanning over two years (2018 to 2020) in Malay Peninsula (Singapore and Malaysia), Borneo (Brunei Darussalam and Sabah) and the Philippines revealed previously unknown calls of 24 katydid species from four subfamilies. The calling songs of Southeast Asian katydid species are highly diversified in both the time and frequency domains. Call structure can range from isolated syllables (e.g., Holochlora), continuous trills (e.g., Axylus philippinus) to short pulse-trains (e.g., Euanisous teuthroides) and complex echemes (e.g., Conocephalus spp.). 87.5 % of species have ultrasonic peak frequencies and 12.5 % can be considered extreme ultrasonic callers (peak frequency >40 kHz). The call spectrum ranges from tonal (e.g., spectral entropy = 6.8 in Casigneta sp. 2) to resonant (entropy = 8.8 in Conocephalus cognatus). Of the 24 species whose calls are described here, we also imaged and described the sound-producing structures of 18 species. This study provides a preliminary overview of the acoustic diversity of katydids in Southeast Asia and the authors hope to inspire further investigation into the bioacoustics of little-known katydids from Southeast Asia. Amassing a database of calling songs and sound-producing organs from different species can be important to address the taxonomy impediment while advancing our knowledge about the bioacoustics of Southeast Asian katydids

    Proposing a Smart Performance Management System for Production Workshop Based on Virtual Organizational Deoxyribonucleic Acid Concept

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    This research aims to develop and validate a smart PMS. The PMS will create a foundation for PMSs that will be used by organizations in the digital era. A three-step methodology was used in the current research. First, the archival literature analysis was used to identify the features and elements of the robust PMSs. Second, a generic PMS was constructed based on the results of the first step. Third, the generic PMS was amended, implemented in the workshop, and validated by discussing the results with a focus group of experts. The academic and technical contribution can be seen in proposing a generic Virtual Organizational Deoxyribonucleic Acid (V-DNA) concept and smart PMS (Performance Management Dashboard (PMD) and Decision-Making Tool (DMT)) based on the features and elements of the robust PMSs. The generic V-DNA and PMS were amended and implemented in the stated workshop. Then, the validation process was done by presenting the implementation results to a focus group of academic experts and taking their feedback.  Applying the PMD and the DMT to monitor, analyze, and manage workshop performance was successful. The PMD proved a useful tool that can provide a holistic view of the workshop performance areas instead of focusing on isolated business aspects such as workshop productivity or efficiency. The decision-makers directly identified the low-performing and highly performing KPIs/processes/sub-processes and identified the root causes of low and high performance. The DMT proved a useful tool. The decision-makers could evaluate all sub-processes and rank them based on the values and weights of the decision-making criteria, highlighting the areas that need improvement. The originality and novelty of the proposed PMS and the V-DNA were proved through a systematic literature review process. The implications of the research can be seen in the possibility of testing the generic V-DNA and the PMS templates in organizations of different sizes and sectors to check their applicability. Moreover, other layers of the organizational V-DNA can be proposed. The current research assists the practitioners and managers in constructing the PMSs they need for their workshops/factories/companies
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