Browse and search ISI journal articles, conference proceedings and books.

Journal Articles


Geoffrey Z. Liu, June Lu
Table of Contents for Volume 15, 2020, of the Interdisciplinary Journal of Information, Knowledge, and Management
IJIKM, contents, Interdisciplinary Journal of Information, Knowledge, and Management
.i - iii
Chunjiang Yang, Aobo Chen
Aim/Purpose: Based on the social exchange theory, this study aimed to explore the underlying mechanisms and boundary conditions between organizational socialization and knowledge sharing. Background: With the advent of the era of the knowledge economy, knowledge has been replacing traditional resources such as capital, labor, and land to become the critical resources of enterprises. The competiti ...
organizational socialization, job embeddedness, trust, knowledge sharing
1 - 23
Anthony Igwe, Uzoma Heman Ononye
Aim/Purpose: This study investigates social media use and its effect on knowledge sharing. Based on the review of related literature, we hypothesised that social media use has a significant effect on outward and inward knowledge sharing. Background: While the notion of social media use in work organisations has been progressively developed, empirical studies linking social media to the context of ...
social media, knowledge sharing, outward knowledge sharing, inward knowledge sharing, public organisation
25 - 37
Rogerio Ferreira da Silva, Itana Maria de Souza Gimenes, José Carlos Maldonado
Aim/Purpose: This paper presents a study of Virtual Communities of Practice (VCoP) evaluation methods that aims to identify their current status and impact on knowledge sharing. The purposes of the study are as follows: (i) to identify trends and research gaps in VCoP evaluation methods; and, (ii) to assist researchers to position new research activities in this domain. Background: VCoP have beco ...
systematic mapping, virtual community of practice, evaluation
39 - 64
Haili Pan
Aim/Purpose: This study examines the kind of community value companies should provide when strengthening the relationship between customers and brands through the establishment of an online brand community, and how this kind of community value promotes customers’ sense of community engagement and willingness to spread brand reputation. The paper also discusses how an enterprise’s brand symbolism a ...
WOM, online brand community, brand symbolism, customer engagement
65 - 90
Saud Altaf, Muhammad Waseem Soomro, Laila Kazmi
Aim/Purpose: The clustering techniques are normally considered to determine the significant and meaningful subclasses purposed in datasets. It is an unsupervised type of Machine Learning (ML) where the objective is to form groups from objects based on their similarity and used to determine the implicit relationships between the different features of the data. Cluster Analysis is considered a signi ...
clustering, density-based, large data sets, parameter, IDCUP, arbitrary shapes
91 - 108
Golan Carmi, Dan Bouhnik
Aim/Purpose: This paper examines the behavior of financial firm employees with regard to information security procedures instituted within their organization. Furthermore, the effect of information security awareness and its importance within a firm is explored. Background: The study focuses on employees’ attitude toward compliance with information security policies (ISP), combined with various n ...
information security behavior, information security awareness, information security management, information security policy, employee compliance finan-cial corporation
109 - 125
Michael Hart, John Burke
Aim/Purpose: Based on business-IT alignment, this study addresses the understudied practice of DevOps. Background: Although organizations continue to implement DevOps practices, few studies explore connections with prior theory. This study contributes to this need by developing the DevOps strategic IT alignment model. Methodology: The sample included 57 firms from the current Forbes Global 2000 ...
DevOps, strategic IT alignment, contingency theory, continuous integration, knowledge sharing, continuous deployment, software theory
127 - 154
Caiyun Zhuang, Guohong Chen, Xiaoyu Du
Aim/Purpose: Drawing on theories of organizational learning, this study analyzes the mechanism of Internet integration capability affecting knowledge generation by 399 Chinese enterprises. This paper will further explore whether there is a moderating role of learning orientation in the mechanism of Internet integration capability affecting enterprise knowledge generation. Background: The Internet ...
internet integration capability, organizational learning, knowledge genera-tion, learning orientation
155 - 174
Mina Ranjbarfard, Zeynab Hatami
Aim/Purpose: The purpose of this paper is to identify Critical Success Factors (CSFs) for Business Intelligence (BI) implementation projects by studying the existing BI project implementation methodologies and to compare these methodologies based on the identified CSFs. Background: The implementation of BI project has become one of the most important technological and organizational innovations ...
business intelligence, business intelligence project implementation, business intelligence implementation methodologies, Fuzzy Delphi method, critical success factors (CSF)
175 - 202
Hani H Al-Dmour, Futon Asfour, Rand Al-Dmour, Ahmed Al-Dmour
Aim/Purpose: This study aimed to examine the effect of marketing knowledge management (MKM) on bank performance via the mediating role of the Fintech innovation in Jordanian commercial banks. Background: An extensive number of studies found a significant relationship between Marketing knowledge management and bank performance (e.g., Akroush & Al-Mohammad, 2010; Hou & Chien 2010; Rezaee & Jafari, ...
marketing knowledge management, Fintech innovation, bank performance
203 - 225
Carlos Santos-Mangudo, Antonio J. Heras
Aim/Purpose: This article proposes a methodology for selecting the initial sets for clustering categorical data. The main idea is to combine all the different values of every single criterion or attribute, to form the first proposal of the so-called multiclusters, obtaining in this way the maximum number of clusters for the whole dataset. The multiclusters thus obtained, are themselves clustered i ...
clustering, categorical data, K-Modes
227 - 246
Ahmed A. Al-Hunaiyyan, Andrew Thomas Bimba, Salah Alsharhan
Aim/Purpose: This study describes a conceptual model, based on the principles of concept algebra that can provide intelligent academic advice using adaptive, knowledge-based feedback. The proposed model advises students based on their traits and academic history. The system aims to deliver adaptive advice to students using historical data from previous and current students. This data-driven approa ...
e-advising, academic advising, academic model, student model, cognitive knowledge-based model, course selection, adaptive algorithm
247 - 263

Back to Top ↑