lpl夏季赛是bo几

  • 2020
  • Gabriel Trettel-Silva
    "Work time reduction in a degrowth context: for the North or for all?"
    2020

    In this paper I argue that focusing on work time reduction as a shared interest between global North and global South socio-environmental movements would contribute to increase sympathy for degrowth in the global South. In order to achieve that, the first challenge is to coherently incorporate work time reduction in the South into the degrowth framework. Currently in academic literature, most of the calls for work time reduction in a degrowth context focus on the global North and disregard the global South. As an attempt to contribute to this matter, I explore some of the limits and premises of different positions found in the academic literature about work time reduction from a degrowth perspective, point to some contradictions and sketch some recommendations on how to overcome them.

    Author(s): Gabriel Trettel-Silva

    Publication date: 31. 5. 2020

  • "Modeling Airbnb demand to New York City while employing spatial panel data at the listing level"
    2020 in: Tourism Management.Volume: 77.

    Using spatial panel data comprising a cross section of 1,461 continuously active Airbnb listings obtained from AirDNA, as well as time series data from NYC and Company and the OECD covering the time period September 2014 to June 2016, the present study quantifies own price, cross price, and income elasticities of Airbnb demand to New York City within an empirical tourism demand framework. The particular goal of the study is to establish whether the relationship between Airbnb and the traditional accommodation industry is of a substitutional or of a complementary nature. Employing a one-way fixed-effects spatial Durbin model, it can be concluded that demand is price-inelastic for Airbnb accommodation in New York City, which is a luxury good, and that the city's traditional accommodation industry as well as neighboring Airbnb listings are substitutes for the investigated Airbnb listings. The estimation results are robust against several alternative specifications of the regression equation.

    Author(s): Ulrich Gunter, Irem ?nder, Bozana Zekan

    Publication date: 2020

    Volume: 77

    Electronic version(s), related files and links: http://dx.doi.org/10.1016/j.tourman.2019.104000

  • Baldwin Tong, Ulrich Gunter
    "Hedonic pricing and the sharing economy: how profile characteristics affect Airbnb accommodation prices in Barcelona, Madrid, and Seville"
    2020 in: Current Issues in Tourism.

    The sharing economy has allowed people from all over the world to more effectively utilize their assets. Owners or controllers of assets in the sharing economy are free to set any price they want subject to prevailing market demand as long as they operate in an imperfectly competitive market environment. This paper examines how various characteristics of an Airbnb listing (size, number of photos, ratings, host responsiveness, superhost status, distance from city centre, etc.) affect the prices of accommodation and determines which factors strongly affect price using weighted least squares (WLS) and quantile regression. A hedonic pricing model was developed and applied to data from the cities of Barcelona, Madrid, and Seville to determine how the different characteristics of an Airbnb listing affect the price of accommodation in these major three Spanish tourist cities. The estimation results, which are resilient to various robustness checks, indicate that overall rating as well as characteristics indicative of the size of the accommodation have the strongest positive influence on price, while the number of reviews and distance from the city centre have the strongest negative influence on price.

    Author(s): Baldwin Tong, Ulrich Gunter

    Publication date: 2020

    Electronic version(s), related files and links: http://dx.doi.org/10.1080/13683500.2020.1718619

  • Abderahman Rejeb, John Keogh, Horst Treiblmaier
    "How Blockchain Technology Can Benefit Marketing: Six Pending Research Areas - How Blockchain Technology Can Benefit Marketing: Six Pending Research Areas"
    2020 in: Frontiers in Blockchain.Volume: 3.Issue number: 3 Pages: 1-12

    The proliferation of sophisticated e-commerce platforms coupled with mobile applications has ignited growth in business-to-consumer (B2C) commerce, reshaped organizational structures, and revamped value creation processes. Simultaneously, new technologies have altered the dynamics of brand marketing, enabling a broader reach and more personalized targeting aimed at increasing brand trust and enhancing customer loyalty. Today, the Internet allows marketers to penetrate deeper into their existing markets, create new online marketplaces and to generate new demand. This dynamic market engagement uses new technologies to target consumers more effectively. In this conceptual paper, we discuss how blockchain technology can potentially impact a firm's marketing activities. More specifically, we illustrate how blockchain technology acts as incremental innovation, empowering the consumer-centric paradigm. Moreover, blockchain technology fosters disintermediation, aids in combatting click fraud, reinforces trust and transparency, enables enhanced privacy protection, empowers security, and enables creative loyalty programs. We present six propositions that will guide future blockchain-related research in the area of marketing.

    Author(s): Abderahman Rejeb, John Keogh, Horst Treiblmaier

    Publication date: 2020

    Volume: 3

    Issue number: 3

    Pages: 1-12

    Electronic version(s), related files and links: http://dx.doi.org/10.3389/fbloc.2020.00003

  • "The role of collaborative governance in energy regions experiences from an Austrian region"
    2020 in: Journal of Cleaner Production.

    Tourism destinations with a strong exposure to climate change are confronted with the need to initiate energy transitions. As a consequence a broad set of regional stakeholders within and outside the tourism sector are compelled to become active. Therefore collaborative efforts are increasingly suggested in order to initiate and coordinate such transitions.
    The paper focuses on these coordination aspects and uses the insights of a tourism destination, the Pinzgau which is on the one hand famous for its winter tourism in Austria and on the other hand part of the national park ‘Hohe Tauern’ where nature preservation is the core goal.

    Author(s): Sabine Sedlacek, Tanja T?tzer, Dagmar Lund-Durlacher

    Publication date: 2020

    Electronic version(s), related files and links: http://dx.doi.org/https://doi.org/10.1016/j.jclepro.2020.120256

  • Thomas F. Stafford, Horst Treiblmaier
    "Characteristics of a Distributed Ledger Ecosystem for Secure and Sharable Electronic Medical Records"
    2020 in: IEEE Transactions on Engineering Management. Pages: 1-23

    Blockchain technology is a secure and distributed information accounting, storage and retrieval modality which has the ability to disrupt and revolutionize business practices. One such disruption resides in the capability of Blockchain to serve as a secure method for storing and sharing electronic medical records in new and innovative ways. Current medical record storage and transmission methods are proprietary and have interoperability and security problems. To that end, secure, effective and interoperable electronic records options are highly prized. This study uses a grounded theory approach to qualitative analysis of electronic medical records users in the United States to develop a perspective from industry and scholarly practice on the suitability of Blockchain technologies for electronic medical records security and storage.

    Author(s): Thomas F. Stafford, Horst Treiblmaier

    Publication date: 2020

    Pages: 1-23

    Electronic version(s), related files and links: http://dx.doi.org/10.1109/TEM.2020.2973095

  • Neale O'Connor, Paul Benjamin Lowry, Horst Treiblmaier
    "Interorganizational Cooperation and Supplier Performance in High-Technology Supply Chains"
    2020 in: Heliyon.Volume: 6.Issue number: 3 Pages: 1-16

    Never in history have global supply-chain relationships in high-tech electronics firms been more sophisticated, complicated, and almost always tied in some major aspect to China. The setting makes interorganizational (IO) cooperation in a cross-cultural context, infused with Chinese culture and relationships, which absolutely crucial for global organizations to understand to have success in this environment. Ironically, although China is now more involved in this global supply chain than any other country in the world, this context is highly understudied, and most of the supply-chain literature is fundamentally rooted in a Western perspective and with data from Western countries and companies. This gap creates serious blind spots in theory, research, and policy, and leads to the research question driving this study: How does IO cooperation influence supplier performance in the context of China’s high-tech hardware components industry? In this context, we thus examines how IO cooperation impacts performance and what role information technology (IT) integration and relationship learning play in the value-creation process for suppliers in business-to-business (B2B) supply chains. In examining these two dimensions, this study proposes a model that differentiates between a supplier’s performances regarding (a) its major customer and (b) the general market. The researchers conducted in-depth face-to-face interviews with supply chain managers and executives from 1,004 Chinese high-tech electronic component suppliers. The results strongly support the hypothesis that IO cooperation improves a supplier’s performance regarding both its major customer and overall marketplace. Relationship learning and IT integration are important mediating variables that drive performance. This study makes notable contributions to the literature by simultaneously testing the influences of IO cooperation, relationship learning, and IT integration on supplier performance. A unique aspect of this study is that it focuses on a very large sample of a specific supplier type—high-tech Chinese suppliers. This combined with the fact that the sampled companies were involved in manufacturing 13 different product groups, greatly increases the generalizability of the results. The strongest effect in our study was the influence of IO cooperation on relationship learning.

    Author(s): Neale O'Connor, Paul Benjamin Lowry, Horst Treiblmaier

    Publication date: 2020

    Volume: 6

    Issue number: 3

    Pages: 1-16

    Electronic version(s), related files and links: http://dx.doi.org/https://doi.org/10.1016/j.heliyon.2020.e03434

  • Christian Sillaber, Bernhard Waltl, Horst Treiblmaier, Ulrich Gallersd?rfer, Michael Felderer
    "Laying the Foundation for Smart Contract Development: An Integrated Engineering Process"
    2020 in: Information Systems and e-Business Management. Pages: 1-20

    Smart contracts are seen as the major building blocks for future autonomous blockchain- and Distributed Ledger Technology (DLT)-based applications. Engineering such contracts for trustless, append-only, and decentralized digital ledgers allows mutually distrustful parties to transform legal requirements into immutable and formalized rules. Previous experience shows this to be a challenging task due to demanding socio-technical ecosystems and the specificities of decentralized ledger technology. In this paper, we therefore develop an integrated process model for engineering DLT-based smart contracts that accounts for the specificities of DLT. This model was iteratively refined with the support of industry experts. The model explicitly accounts for the immutability of the trustless, append-only, and decentralized DLT ecosystem, and thereby overcomes certain limitations of traditional software engineering process models. More specifically, it consists of five successive and closely intertwined phases: conceptualization, implementation, approval, execution, and finalization. For each phase, the respective activities, roles, and artifacts are identified and discussed in detail. Applying such a model when engineering smart contracts will help software engineers and developers to better understand and streamline the engineering process of DLTs in general and blockchain in particular. Furthermore, this model serves as a generic framework which will support application development in all fields in which DLT can be applied.

    Author(s): Christian Sillaber, Bernhard Waltl, Horst Treiblmaier, Ulrich Gallersd?rfer, Michael Felderer

    Publication date: 2020

    Pages: 1-20

    Electronic version(s), related files and links: http://dx.doi.org/https://doi.org/10.1007/s10257-020-00465-5

  • Irem ?nder, Bozana Zekan, Nusret Araz
    "An Efficiency Assessment of DMOs’ Facebook Pages: A Benchmarking Study"
    2020

    Author(s): Irem ?nder, Bozana Zekan, Nusret Araz

    Publication date: 2020

    Publisher: Springer Nature Switzerland

    Host publication editor(s): J. Neidhardt, W. W?rndl

  • Klemens Weigl, Ivo Ponocny
    "Group Sequential Designs Applied in Psychological Research"
    2020 in: Methodology.Volume: 16.Issue number: 1 Pages: 75-91

    Psychological research is confronted with ever-increasing demands to save resources such as time and money while assuring high ethical standards. In medical and pharmaceutical research, group sequential designs have fundamentally changed traditional statistical testing approaches featuring only one analysis at the end of a single-stage study. They enable early stopping at an interim stage, after a group of observations, for efficacy or futility in case of an overwhelmingly large or small effect, respectively. Otherwise, the trial is continued to the next stage. On average over many studies time and money are saved and more ethical trials are facilitated by diminishing the risk of patients' exposure to inferior treatments. We provide an easy-to-use tutorial for psychological research replete with easily understandable figures highlighting the core idea of different group sequential designs, a workflow chart, an empirical real-world data set, and the annotated R code. Finally, we demonstrate the application of early stopping for efficacy.

    Author(s): Klemens Weigl, Ivo Ponocny

    Publication date: 2020

    Volume: 16

    Issue number: 1

    Pages: 75-91

  • Aarni Tuomi, Iis P. Tussyadiah, Jason L. Stienmetz
    "Leverage LEGO? Serious Play ? to Embrace AI and Robots in Tourism"
    2020 in: Annals of Tourism Research.Volume: 81.

    Author(s): Aarni Tuomi, Iis P. Tussyadiah, Jason L. Stienmetz

    Publication date: 2020

    Volume: 81

    Electronic version(s), related files and links: http://dx.doi.org/10.1016/j.annals.2019.06.003

  • Jason L. Stienmetz, Jeongmi (Jamie) Kim, Zheng Xiang, Daniel R. Fesenmaier
    "Managing the Structure of Tourism Experiences: Foundations for Tourism Design"
    2020 in: Journal of Destination Marketing & Management.

    Author(s): Jason L. Stienmetz, Jeongmi (Jamie) Kim, Zheng Xiang, Daniel R. Fesenmaier

    Publication date: 2020

    Electronic version(s), related files and links: http://dx.doi.org/10.1016/j.jdmm.2019.100408

  • Shi Xu, Jason L. Stienmetz, Mark Ashton
    "How Will Service Robots Redefine Leadership in Hotel Management? A Delphi Approach"
    2020 in: International Journal of Contemporary Hospitality Management.

    Author(s): Shi Xu, Jason L. Stienmetz, Mark Ashton

    Publication date: 2020

    Electronic version(s), related files and links: http://dx.doi.org/10.1108/IJCHM-05-2019-0505

  • Aarni Tuomi, Iis P. Tussyadiah, Jason L. Stienmetz
    "Applications and Implications of Service Robots in Hospitality"
    2020 in: Cornell Hospitality Quarterly.

    Author(s): Aarni Tuomi, Iis P. Tussyadiah, Jason L. Stienmetz

    Publication date: 2020

  • Gabriel Trettel-Silva, Sylmara Gon?alves Dias
    "O Decrescimento - Mapeamento de uma D cada de Literatura Acad mica Internacional"
    2020

    This chapter presents and discusses the mapping of a decade of international academic literature on degrowth. This debate is primarily concerned with criticizing growth as a social objective, that is, a socioeconomic system based on a logic of unlimited growth. The international academic repercussion of the debate around this theme occurred from the 2000s onwards due to the dissemination of the term in English (degrowth) in international academic journals. The mapping was performed considering the Scopus database and English search terms (i.e. degrowth or de-growth). The analysis of the 276 identified documents indicates the concentration of articles in multidisciplinary areas, especially in ecological economics and environmental science. We also point to the prevalence of authors from institutions in the global North and low participation of the South in this debate.

    Author(s): Gabriel Trettel-Silva, Sylmara Gon?alves Dias

    Publication date: 2020

  • 2019
  • Harvey Goldstein, Verena Radinger-Peer, Sabine Sedlacek
    "The pathways and challenges of university engagement: comparative case studies"
    2019 Pages: 251-278

    The idea of university engagement is not new and indeed goes back at least to 1862 in the United States with the land-grant college. It was, however, the image of the university as ‘ivory tower’ that became dominant after WWII in the global competition among universities for the highest rankings in the amount of research funding and prestige. Universities that focused on local and regional concerns were perceived by many as parochial institutions.
    Fortunately, that image has been changing, but many universities are still resistant to strong to commitments to regional engagement for a variety of reasons. We use comparative case studies to explore the differential effects of regional economic environment, external stakeholders, regional political interests, university research strengths, and university leadership on how universities are regionally engaged and how effective they are in their engagement activities.

    Author(s): Harvey Goldstein, Verena Radinger-Peer, Sabine Sedlacek

    Publication date: 23. 12. 2019

    Publisher: Edward Elgar Publishing Ltd

    Pages: 251-278

    Host publication editor(s): A. Varga, K. Erd?s

  • Auersperg Felicitas, Thomas Vlasak, Ivo Ponocny, Alfred Barth
    "Long-term effects of parental divorce on mental health A meta-analysis"
    2019 in: Journal of Psychiatric Research. Pages: 107-115

    The aim of this study was to estimate the long-term effects of parental divorce on their offspring's mental health as well as substance-based addiction. We performed a systematic literature search on PubMed, Medline, PsyINFO, PsyARTICLES and PsycNET for the time period from 1990 until March 2018 in English language. In total 54 studies were included in the meta-analysis resulting in 117 effect sizes as well as a total sample of 506,299 participants. A significant association between parental divorce and every aspect of mental health was found with the following pooled ORs (95% CIs): Depression 1.29 (1.231.35), anxiety 1.12 (1.041.12), suicide attempt 1.35 (1.261.44), suicidal ideation 1.48 (1.431.54), distress 1.48 (1.371.6), alcohol 1.43 (1.341.53), smoking 1.64 (1.571.72) and drugs 1.45 (1.441.46) could be estimated. There was significant association between the effect sizes and the publication date specifically for distress (r?=??0.995, p?=?.005). The results of the meta-analysis show a consistent direction of influence regarding the long-term effect of parental divorce on their children. Individuals affected by parental divorce have a higher risk of developing a variety of mental health conditions, although the effect sizes decreased from 1990 to 2017. Further research should focus on developing programmes to promote the resilience of children affected by divorce.

    Author(s): Auersperg Felicitas, Thomas Vlasak, Ivo Ponocny, Alfred Barth

    Publication date: 12. 2019

    Pages: 107-115

  • Fabian Odoni, Adrian Brasoveanu, Philip Kuntschik, Albert Weichselbraun
    "Introducing orbis: An extendable evaluation pipeline for named entity linking performance drilldown analyses"
    2019 in: Proceedings of the Association for Information Science and Technology .Volume: 56.Issue number: 1 Pages: 468-471

    Most current evaluation tools are focused solely on benchmarking and comparative evaluations thus only provide aggregated statistics such as precision, recall and F1measure to assess overall system performance. They do not offer comprehensive analyses up to the level of individual annotations. This paper introduces Orbis, an extendable evaluation pipeline framework developed to allow visual drilldown analyses of individual entities, computed by annotation services, in the context of the text they appear in, in reference to the entities specified in the gold standard.

    Author(s): Fabian Odoni, Adrian Brasoveanu, Philip Kuntschik, Albert Weichselbraun

    Publication date: 18. 10. 2019

    Volume: 56

    Issue number: 1

    Pages: 468-471

  • Xavier Matteucci, Ivana Volic, Sebastian Filep
    "Dimensions of Friendship in Shared Travel Experiences"
    2019 in: Leisure Sciences.

    Quality relationships are fundamental to human well-being. Friendships are voluntary relationships between autonomous individuals that can shed light on how bonding and intimacy are experienced in tourism environments. Adopting a qualitative, humanist approach, this article explores the topic of friendship in tourism. Through a thematic analysis of 12 in-depth interviews, we examine how friendships are experienced by Serbian young to middle-age adults in tourism settings. It was revealed five main dimensions underpin friendship relationships in a tourism context: intimacy of spaces, quality time, disclosure, navigation of challenges and relational realisations, or a sense of learning about oneself through shared experiences. Opportunities are suggested for researchers to extend these research findings.

    Author(s): Xavier Matteucci, Ivana Volic, Sebastian Filep

    Publication date: 9. 2019

  • Adrian Brasoveanu, Razvan Andonie
    "Semantic fake news detection: a machine learning perspective"
    2019 Pages: 656-667

    Fake news detection is a difficult problem due to the nuances of language. Understanding the reasoning behind certain fake items implies inferring a lot of details about the various actors involved. We believe that the solution to this problem should be a hybrid one, combining machine learning, semantics and natural language processing. We introduce a new semantic fake news detection method built around relational features like sentiment, entities or facts extracted directly from text. Our experiments show that by adding semantic features the accuracy of fake news classification improves significantly.

    Author(s): Adrian Brasoveanu, Razvan Andonie

    Publication date: 6. 2019

    Pages: 656-667

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