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1 – 10 of 10Paolo Boccagni, Luis Eduardo PéRez Murcia and Milena Belloni
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Siti Salbiah Zainal Abidin and Mohd Heikal Husin
Document management system is an essential approach that should be managed well to ensure an effective and faster overall working process in an organization. Hardcopy documents…
Abstract
Document management system is an essential approach that should be managed well to ensure an effective and faster overall working process in an organization. Hardcopy documents has been one of the items that most organizations need to manage in a safe and secure manner due to the high dependency on most of their working procedure especially in government organizations. Hence, we proposed a new framework to improve the weaknesses of the existing document management procedures in government organizations. Our proposed framework integrates the implementation of an NFC system in this research due to its secure short - range communication, and the peer-to-peer communication capability in most mobile devices. Besides that, most existing government organizations within Malaysia could easily implement such technology for their internal usage as this technology is cost effective due to its availability on existing mobile devices on most Android based devices.
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Nariakira Yoshida, Mitsuru Matsuda and Yuichi Miyamoto
The primary research question in this study concerns the establishment of a platform for intercultural collaborative lesson study, which promotes reciprocal dialogue between…
Abstract
Purpose
The primary research question in this study concerns the establishment of a platform for intercultural collaborative lesson study, which promotes reciprocal dialogue between culturally distinctive educational research groups. Therefore, this study aims to introduce a case of intercultural collaborative lesson study projects between Hiroshima University and Leipzig University and to illustrate the issues in intercultural collaborative lesson study.
Design/methodology/approach
This study reconstructed the sequence of the project as a case under the narrative structure. Data were retrieved from a collaborative project between Hiroshima University and Leipzig University, which corresponds to the theoretical framework, as they represent a clear cultural contrast. The description of the project is reconstructed and reduced into a linear storyline of procedure.
Findings
This study identifies three key issues: (1) sharing data and culture, (2) visualising methodology and process, and (3) responding to research questions and answers.
Research limitations/implications
This platform does require one cultural group neither throwing their own norms away nor creating an utterly new paradigm beyond their own cultures. It is a place “between” original places that enables groups to capture their own culture and another culture, which does not compel to change but effectively allows reflection and changing themselves.
Originality/value
Although several transcultural reports find that one cultural asset is imported and exported, the arena of bi-directional intercultural dialogue remains undeveloped. The collaborative project between Hiroshima and Leipzig is then introduced and examined to overcome the current problems in transnational lesson study.
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Sara Osama Hassan Hosny and Gamal Sayed AbdelAziz
The current study aims to propose and empirically investigate a conceptual model of the most relevant antecedents and consequences of Corporate Social Responsibility (CSR…
Abstract
Purpose
The current study aims to propose and empirically investigate a conceptual model of the most relevant antecedents and consequences of Corporate Social Responsibility (CSR) attribution, thus providing a practical and concise model as well as examining brand attachment as a mediator explaining the relationship between CSR attribution and its consequences.
Design/methodology/approach
A between-subjects experimental design was employed. The study included two experimental conditions; intrinsic and extrinsic CSR attribution and a control condition. An online self-administered survey was utilised for data collection. The sample was a convenience sample of 336 university students. Both one-way between-groups ANOVA and Partial Least Squares-Structural Equation Modelling (PLS-SEM) were utilised for hypotheses testing.
Findings
The most significant antecedents of CSR attribution in order of importance are the firm's approach to CSR communication, past corporate social performance, CSR type and the firm's call for customers' participation in its CSR. CSR attribution exerted a significant direct positive impact on brand attachment and trust. Three significant indirect consequences of CSR attribution were PWOM intention, purchase intention and brand loyalty intention. Whereas trust played a significant mediating role between CSR attribution and its three indirect consequences, brand attachment exerted significant mediation only between CSR attribution and brand loyalty intention. Brand attachment might mediate the relationship between CSR attribution and purchase intention. However, brand attachment failed to play a mediating role between CSR attribution and PWOM intention.
Originality/value
Several studies marginally investigated CSR attribution. Despite the vital role of CSR attribution in how consumers receive firms' CSR engagement, the availability of CSR attribution-centric studies is limited. By introducing a model of the most relevant antecedents and consequences of CSR attribution, this study aids in understanding the psychological mechanism underlying consumers' CSR attribution and provides valuable implications.
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Sudhaman Parthasarathy and S.T. Padmapriya
Algorithm bias refers to repetitive computer program errors that give some users more weight than others. The aim of this article is to provide a deeper insight of algorithm bias…
Abstract
Purpose
Algorithm bias refers to repetitive computer program errors that give some users more weight than others. The aim of this article is to provide a deeper insight of algorithm bias in AI-enabled ERP software customization. Although algorithmic bias in machine learning models has uneven, unfair and unjust impacts, research on it is mostly anecdotal and scattered.
Design/methodology/approach
As guided by the previous research (Akter et al., 2022), this study presents the possible design bias (model, data and method) one may experience with enterprise resource planning (ERP) software customization algorithm. This study then presents the artificial intelligence (AI) version of ERP customization algorithm using k-nearest neighbours algorithm.
Findings
This study illustrates the possible bias when the prioritized requirements customization estimation (PRCE) algorithm available in the ERP literature is executed without any AI. Then, the authors present their newly developed AI version of the PRCE algorithm that uses ML techniques. The authors then discuss its adjoining algorithmic bias with an illustration. Further, the authors also draw a roadmap for managing algorithmic bias during ERP customization in practice.
Originality/value
To the best of the authors’ knowledge, no prior research has attempted to understand the algorithmic bias that occurs during the execution of the ERP customization algorithm (with or without AI).
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