Aslib journal of information management 

About: Aslib journal of information management is an academic journal published by Emerald Publishing Limited. The journal publishes majorly in the area(s): Computer science & Originality. It has an ISSN identifier of 2050-3806. Over the lifetime, 40 publications have been published receiving 63 citations. The journal is also known as: AJIM.

Positioning big data analytics capabilities towards financial service agility

Abstract: PurposeEnterprises are increasingly taking actionable steps to transform existing business models through digital technologies for service transformation such as big data analytics (BDA). BDA capabilities offer financial institutions to source financial data, analyse data, insight and store such data and information on collaborative platforms for a quick decision-making process. Accordingly, this study identifies how BDA capabilities can be deployed to provide significant improvement for financial services agility.Design/methodology/approachThe study relied on survey data from 485 banking professionals' perspectives with BDA usage, IT capability development and financial service agility. The PLS-SEM technique was used to evaluate the underlying relationship and the applicability of the research framework proposed.FindingsBased on the empirical test from this study, distinctive BDA usage grounded on the concept of IT capability viewpoint proof that financial service agility could be enhanced provided enterprises develop technical capabilities alongside other relevant resources.Practical implicationsThe study further highlights the need for financial service managers to identify BDA technologies such as data mining, query and reporting, data visualisation, predictive modelling, streaming analytics, video analytics and voice analytics to focus on financial knowledge gathering and market observation. Financial managers can also deploy BDA tools to develop a strategic road map for data management, data transferability and knowledge discovery for customised financial products.Originality/valueThis study is a useful contribution to the burgeoning discussion with emerging technologies such as BDA implication to improving enterprises operations.

Conceptualizing the role of blockchain in omnichannel healthcare: a Delphi study

Abstract: PurposeThis study aims to identify the challenges in the healthcare industry as it adopts an omnichannel setup in an emerging economy context. Further, the study determines the scope of blockchain in addressing these challenges.Design/methodology/approachThe study uses a qualitative approach to understand the challenges in the omnichannel healthcare industry and know the scope of blockchain in building an omnichannel healthcare system. In the first stage, it did an in-depth analysis of the extant literature, followed by a Delphi study with 24 healthcare experts.FindingsThe study presents the current challenges in the omnichannel healthcare sector in an emerging economy. Further, it develops a novel conceptual framework for blockchain adoption in the omnichannel healthcare industry. The study also presents propositions that will help healthcare service providers enhance decision-making concerning the adoption of blockchain in the healthcare industry.Research limitations/implicationsThe research results may lack generalizability due to the exploratory approach and emerging economies context. Theoretically, in this study, the authors extend the theory of swift trust and organization information processing theory in an omnichannel healthcare context.Practical implicationsThe propositions provided in this paper can help healthcare managers make strategic decisions on the scope of adoption of blockchain for omnichannel healthcare.Originality/valueThis study explores the understudied area of challenges in omnichannel healthcare and the scope of blockchain for omnichannel healthcare in an emerging economy context.

Information needs and seeking behaviors of Israeli citizens during the COVID-19 outbreak

Abstract: PurposeThe aim of this study is to examine the information needs and information seeking behaviors of Israeli citizens during the outbreak of the coronavirus disease (COVID-19) in 2020, with an emphasis on the dissemination of digital information by government agencies.Design/methodology/approachThe research approach underlying this investigation is of the “case study” type, employing semi-structured, in-depth interviews conducted with 24 Israeli citizens regarding their perceptions and experiences with government information and government services during the first months of the coronavirus.FindingsThe findings of this study reveal that most participants indicated feelings of media fatigue as a result of increased exposure to news media and social media, to the point of experiencing information overload. Second, participants described feeling a lack of clear information and poor access to accurate health and official information at the outset of the COVID-19 crisis in Israel. Third, participants in the authors’ study noted that most of the information to which they were exposed about the virus came to them through communal connections such as friends and family, via social media and messaging apps like WhatsApp. In general, the participants expressed satisfaction with the quality and availability of the data and extensive information of government ministries on social networks, together with a lack of satisfaction due to difficulties in usage and a lack of clear information on traditional government websites.Originality/valueThe findings present the information acquisition and the experience of citizens in situations of national emergencies and crises, in a new light, through a focus on the dissemination of government, health and news information.

Evaluating transfer learning approach for detecting Arabic anti-refugee/migrant speech on social media

Abstract: PurposeThe present study was designed to investigate eight research questions that are related to the analysis and the detection of dialectal Arabic hate speech that targeted African refugees and illegal migrants on the YouTube Algerian space.Design/methodology/approachThe transfer learning approach which recently presents the state-of-the-art approach in natural language processing tasks has been exploited to classify and detect hate speech in Algerian dialectal Arabic. Besides, a descriptive analysis has been conducted to answer the analytical research questions that aim at measuring and evaluating the presence of the anti-refugee/migrant discourse on the YouTube social platform.FindingsData analysis revealed that there has been a gradual modest increase in the number of anti-refugee/migrant hateful comments on YouTube since 2014, a sharp rise in 2017 and a sharp decline in later years until 2021. Furthermore, our findings stemming from classifying hate content using multilingual and monolingual pre-trained language transformers demonstrate a good performance of the AraBERT monolingual transformer in comparison with the monodialectal transformer DziriBERT and the cross-lingual transformers mBERT and XLM-R.Originality/valueAutomatic hate speech detection in languages other than English is quite a challenging task that the literature has tried to address by various approaches of machine learning. Although the recent approach of cross-lingual transfer learning offers a promising solution, tackling this problem in the context of the Arabic language, particularly dialectal Arabic makes it even more challenging. Our results cast a new light on the actual ability of the transfer learning approach to deal with low-resource languages that widely differ from high-resource languages as well as other Latin-based, low-resource languages.

The maturity of open government data maturity: a multivocal literature review

Abstract: PurposeThe aim of this study is to provide administrators in government institutions a roadmap to achieve benefits of open government data (OGD) by reviewing and classifying studies with assessment or maturity models (MMs) in the OGD domain with a Multivocal Literature Review (MLR).Design/methodology/approachTo achieve this goal, the authors conducted an MLR that includes data from not only the formal literature but also the grey literature (e.g. white papers and online documents).FindingsOut of 3,569 sources, 81 studies were selected by following the elimination scheme and assessing sources by relevance and methodology. As a result of the quality assessment of the identified MMs based on predefined criteria, unambiguity, comparability, repeatability, completeness, clearness and objectivity, it was observed that there are a limited number of MMs in this domain and none of them fully satisfies the requirements.Originality/valueThis study is likely the first MLR on OGD domain. This MLR serves as a first step for future research on OGD assessment and MMs by presenting the need to establish a holistic approach covering all OGD dimensions, creation of an objective assessment method, prescriptive properties, and empirical evaluation demonstrating the applicability and usefulness at different scope levels.