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Antes de ontemH-I

Cultural metaphors and KMS appropriation: Drawing on Astérix to understand non-use in a large French company

Publication date: June 2021

Source: Information and Organization, Volume 31, Issue 2

Author(s): Aurélie Dudézert, Nathalie Mitev, Ewan Oiry

  • 15 de Junho de 2021, 16:39

Heterogeneous type-specific entity representation learning for recommendations in e-commerce network

Publication date: September 2021

Source: Information Processing & Management, Volume 58, Issue 5

Author(s): Jianxing Zheng, Qinwen Li, Jian Liao

  • 11 de Maio de 2021, 17:21

A taxonomy for Blockchain based distributed storage technologies

Publication date: September 2021

Source: Information Processing & Management, Volume 58, Issue 5

Author(s): Omer F. Cangir, Onur Cankur, Adnan Ozsoy

  • 11 de Maio de 2021, 17:21

User-Defined SWOT analysis – A change mining perspective on user-generated content

Publication date: September 2021

Source: Information Processing & Management, Volume 58, Issue 5

Author(s): Li-Chen Cheng, Kuanchin Chen, Ming-Chu Lee, Kua-Mai Li

  • 11 de Maio de 2021, 17:21

School library media specialists: An evolving profession in a pandemic

Por Heather Kapanka
IFLA Journal, Ahead of Print.
In March 2020, Michigan’s school library media specialists, along with the entire educational community, found themselves facing unprecedented challenges brought by the disruption of the COVID-19 pandemic. As learning shifted online, the roles of school library media specialists shifted as well. Three southeast Michigan school library media specialists were interviewed to obtain their perspectives regarding the adaptation to distance learning, as well as how they predicted educational practices will evolve going forward. The educational practices of learning commons, guided inquiry, co-teaching, and information literacy were found to be particularly valuable during the shift to distance learning. The increased dependence on these practices during the pandemic will likely result in increased implementation of these practices when face-to-face learning resumes.
  • 11 de Maio de 2021, 09:52

Deciding how to decide: Using the Digital Preservation Storage Criteria

Por Sibyl K Schaefer
IFLA Journal, Ahead of Print.
The Digital Preservation Storage Criteria (hereafter, the Criteria) grew out of a community discussion at the 12th International Conference on Digital Preservation (iPRES 2015) on the evolving landscape of digital preservation storage approaches. A Working Group convened to develop guidance for organizations that either use or provide digital preservation storage. The first version of the Criteria was presented at an iPRES 2016 workshop and outlined the Working Group’s preliminary results and sought feedback. The Working Group has shared iterative versions over the last three years that have been informed by community feedback gathered through conference sessions, online review and a survey. Possible uses of the Criteria include helping organizations to develop requirements for their digital preservation storage, evaluating digital preservation storage solutions, raising awareness about digital preservation storage, and providing training materials to inform practitioners and others, including a game to demonstrate how the Criteria might be adapted for use. A Usage Guide accompanied the release of the current public iteration of the Criteria to help apply the Criteria. This iteration of the Criteria contains 61 criteria grouped into categories: Content Integrity, Cost Considerations, Flexibility, Information Security, Resilience, Scalability and Performance, Support, and Transparency. The unreleased draft, Version 4, includes an additional category: System Security. In addition to introducing the Criteria and providing background about their evolution, this article highlights new areas of development. First, the preliminary results from an ongoing effort to map the Criteria to relevant international digital preservation and information technology standards are presented. Second, updates to the Usage Guide are discussed. The Usage Guide is a supplement to the Criteria that provides the contextual information necessary for implementing the Criteria and includes sections on considerations such as risk management, cost, understanding independence and ensuring bit safety. Finally, examples of using the Criteria in various contexts are provided to encourage organizations to apply the Criteria to their own situation. The Criteria, the Usage Guide, the Criteria game and related documents are open and available for review at https://osf.io/sjc6u/, where future additions and updates will be shared.
  • 11 de Maio de 2021, 09:51

Indigenous knowledge in Sudan: Perceptions among Sudanese librarians

Por Omer Abbas El Sharief
IFLA Journal, Ahead of Print.
Indigenous knowledge has received considerable attention in Sudan, as it is deeply rooted in the sociocultural life. Librarians, as facilitators of learning, have an essential role to play in indigenous knowledge management in the country. The objective of this article is to assess Sudanese librarians’ awareness of indigenous knowledge and to examine their roles in its management and preservation. The research also identifies the major obstacles that face indigenous knowledge management, and the role of information and communication technology in its management. Additionally, the research assesses the major changes needed to develop a successful national indigenous knowledge strategy. Structured questionnaires and four semi-structured interviews were used to collect data. The findings show that Sudanese librarians believe libraries have a role to play in indigenous knowledge management. The article proposes some relevant recommendations to enhance the role of librarians in indigenous knowledge management in Sudan.
  • 11 de Maio de 2021, 09:44

In Codice Ratio: A crowd-enabled solution for low resource machine transcription of the Vatican Registers

Publication date: September 2021

Source: Information Processing & Management, Volume 58, Issue 5

Author(s): Elena Nieddu, Donatella Firmani, Paolo Merialdo, Marco Maiorino

  • 10 de Maio de 2021, 15:43

Neural variational sparse topic model for sparse explainable text representation

Publication date: September 2021

Source: Information Processing & Management, Volume 58, Issue 5

Author(s): Qianqian Xie, Prayag Tiwari, Deepak Gupta, Jimin Huang, Min Peng

  • 10 de Maio de 2021, 15:43

Social innovations and the fight against poverty: An analysis of India's first prosocial P2P lending platform

Por M. N. Ravishankar

Abstract

Prosocial P2P lending platforms are a novel and powerful example of a digital social innovation (DSI) in which the operating model relies primarily on digital technologies and the overarching focus is on the “social” aspect of the innovation. These platforms establish a virtual connection between low-income individuals and lenders, helping the former access loans at low rates of interest. In realising their mission of fighting poverty, prosocial P2P lending platforms maintain a challenging hybrid – online and offline – focus. This paper explores how prosocial P2P lending platforms enact their hybrid orientation. It draws on an inductive qualitative study of Rang De, India's first prosocial P2P lending platform. The analysis highlights five clusters of actions: digital attention-building, digital credibility-building, digital empathy-building, intermediary relationship-building, and borrower relationship-building. The paper argues that significant strengths on the online side help establish a sustainable business model. A willingness and commitment to maintain a high degree of engagement with the complex offline world of low-income borrowers helps develop the model as an impactful social innovation.

Detecting fake news by exploring the consistency of multimodal data

Publication date: September 2021

Source: Information Processing & Management, Volume 58, Issue 5

Author(s): Junxiao Xue, Yabo Wang, Yichen Tian, Yafei Li, Lei Shi, Lin Wei

  • 5 de Maio de 2021, 15:42

Swarm intelligence goal-oriented approach to data-driven innovation in customer churn management

Publication date: Available online 3 May 2021

Source: International Journal of Information Management

Author(s): Jan Kozak, Krzysztof Kania, Przemysław Juszczuk, Maciej Mitręga

  • 5 de Maio de 2021, 15:41

Impression management strategies on enterprise social media platforms: An affordance perspective

Publication date: October 2021

Source: International Journal of Information Management, Volume 60

Author(s): Yuan Sun, Shuyue Fang, Zuopeng (Justin) Zhang

  • 5 de Maio de 2021, 15:41

Crowdworkers, social affirmation and work identity: Rethinking dominant assumptions of crowdwork1

Publication date: Available online 2 May 2021

Source: Information and Organization

Author(s): Ayomikun Idowu, Amany Elbanna

  • 5 de Maio de 2021, 15:40

Combining deep neural network and bibliometric indicator for emerging research topic prediction

Publication date: September 2021

Source: Information Processing & Management, Volume 58, Issue 5

Author(s): Zhentao Liang, Jin Mao, Kun Lu, Zhichao Ba, Gang Li

  • 3 de Maio de 2021, 12:41

Machine Learning and feature engineering-based study into sarcasm and irony classification with application to cyberbullying detection

Publication date: July 2021

Source: Information Processing & Management, Volume 58, Issue 4

Author(s): Zheng Lin Chia, Michal Ptaszynski, Fumito Masui, Gniewosz Leliwa, Michal Wroczynski

  • 3 de Maio de 2021, 12:41

Hidden features identification for designing an efficient research article recommendation system

Abstract

The digital repository of research articles is increasing at a rapid rate and hence searching the right paper becoming a tedious task for researchers. A research paper recommendation system is advocated to help researchers in this context. In the process of designing such a system, proper representation of articles, more specifically, feature identification and extraction are two essential tasks. The existing approaches mainly consider direct features which are readily available from research articles. However, there are certain features which are not readily available from a paper, but may greatly influence the performance of recommendation systems. This paper proposes four indirect features: keyword diversification, text complexity, citation analysis over time, and scientific quality measurement to represent a research article. The keyword diversification measures the uniqueness of the keywords of a paper which helps variation in recommendation. The text complexity measurement helps to provide a paper by matching the user’s understandability level. The citation analysis over time decides the relevancy of a paper. The scientific quality measurement helps to measure the scientific values of papers. Formal definitions of the proposed indirect features, schemes to extract the feature values given a research article, and metrics to measure them quantitatively are discussed in this paper. To substantiate the efficacy of the proposed features, a number of experiments have been carried out. The experimental results reveal that the proposed indirect features uniquely define a research article than the direct features. Given a research paper, extraction of feature vector is computationally fast and thus feasible to filter a large corpus of papers in real time. More significantly, indirect features are matchable with user’s profile features, thus satisfying an important criterion in collaborative filtering.

  • 1 de Junho de 2021, 00:00

Breaking or keeping the habits: exploring the role of legacy habits in the process of discontinuing organisational information systems

Por Mohammad H. Rezazade Mehrizi, Bart van den Hooff, Chaoran Yang

Abstract

Users develop habits in relation to information systems (IS) to reduce the cognitive and behavioural efforts needed for using them. However, when these systems have to be discontinued, users face challenges regarding how to stop relying on their legacy habits. Despite their importance, we know little about how legacy habits shape the way users discontinue a legacy system. Through a comparative case-study approach, in a large mortgage firm and an international telecommunication company, we identify three roles that these habits play during the discontinuance process. We demonstrate that legacy habits not only play an ‘inhibiting’ role by keeping users attached to legacy systems; they also play a ‘bridging’ role by acting as a common ground for users to start working with a new system and a ‘deterring’ role when users resent certain habits of working with the legacy systems, despite their orientation to keep relying on these habits. We contribute to the IS habit literature by extending the roles of legacy habits beyond an inhibiting role. We also enrich the conceptualisation of legacy habits beyond the individual level by showing that the socio-technical conditions in which the habits are embedded impact the emergence and evolution of their roles during the discontinuance process. We discuss the implications of our findings for theorising and managing IS discontinuance process.

Investigating and counteracting popularity bias in group recommendations

Publication date: September 2021

Source: Information Processing & Management, Volume 58, Issue 5

Author(s): Emre Yalcin, Alper Bilge

  • 29 de Abril de 2021, 13:30

Pattern and content controlled response generation

Publication date: September 2021

Source: Information Processing & Management, Volume 58, Issue 5

Author(s): Haifeng Sun, Daixuan Cheng, Jingyu Wang, Qi Qi, Jianxin Liao

  • 29 de Abril de 2021, 13:30

Guest Editorial: A special section on digital marketing

Publication date: August 2021

Source: International Journal of Information Management, Volume 59

Author(s): Hatice Kizgin, Anabel Gutierrez, Bhavini Desai, Delia Vazquez, Nripendra Rana

  • 2 de Junho de 2021, 08:46

Digital government transformation: A structural equation modelling analysis of driving and impeding factors

Publication date: October 2021

Source: International Journal of Information Management, Volume 60

Author(s): Luca Tangi, Marijn Janssen, Michele Benedetti, Giuliano Noci

  • 29 de Abril de 2021, 13:29

Motivating information system engineers’ acceptance of Privacy by Design in China: An extended UTAUT model

Publication date: October 2021

Source: International Journal of Information Management, Volume 60

Author(s): Fei Bu, Nengmin Wang, Bin Jiang, Qi Jiang

  • 29 de Abril de 2021, 13:29

Black Lives Matter: A perspective from three Black information systems scholars

Por Fay Cobb Payton, Lynette Yarger, Victor Mbarika

Abstract

Professional computing organisations, including the ACM, IEEE and INFORMS published statements supporting Black Lives Matter during the 2020 racial unrest in the United States. While the voices of these professional organisations are echoed from positions of power, the concerns of Black IS professors are silenced. In this opinion piece, we centre on the voices of Black professors who seek to thrive in an IS field where they are woefully underrepresented, tokenized, isolated, marginalised and excluded from positions of power. Building on the Black Lives Matter movement's momentum, we offer critical insights about our lived experiences and examine pertinent issues. These issues include systemic racism in the ivory tower and the performative nature of diversity work in the academy. In direct response to the Help the Association of Information Systems (AIS) Build a System that Provides Equality for All, we offer an inclusive framework for promoting transparency, justification, compliance and enforcement of the AIS's action plan for widening participation in IS.

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