Information Resources Management Journal
ISSN / EISSN : 1040-1628 / 1533-7979
Published by: IGI Global (10.4018)
Total articles ≅ 570
Latest articles in this journal
Information Resources Management Journal, Volume 34, pp 21-40; https://doi.org/10.4018/irmj.2021070102
The authors study the effects of perceived interactivity on consumer behavioral intention according to the characteristics of consumer behavior in mobile social commerce. Results indicate that the intensity of information interaction has significant and positive effects on the depth, breadth, and novelty of consumer recommendations and reviews. The intensity of interpersonal interaction has significant and positive effects on community-based trust and response intensity. Information interaction has significant and positive effects on interpersonal interaction and suggestion adoption. Findings also reveal the relationship between interactivity and consumer behavioral intention in mobile social commerce. The conclusions provide theoretical support for studying how these constructs interact with each other.
Information Resources Management Journal, Volume 34, pp 1-20; https://doi.org/10.4018/irmj.2021070101
This study explored the factors determining students' satisfaction with electronic government services. The population of the study was 411 college students in Ganzhou City, Jiangxi Province, China. The technology acceptance model (TAM) was used as the research model and structural equation modeling (SEM) using Smart PLS 3.0 for the statistical analysis. The results showed that perceived usefulness, perceived ease of use, student trust, content quality, and service quality were significant determinants of student satisfaction with e-government services. Both content quality and service quality were significant predictors of the perceived usefulness of e-government services. Importantly, the study revealed that student satisfaction with e-government services was significant in influencing student intention to recommend e-government services adoption. The managerial consequences of these research outcomes on the development and diffusion of electronic government are deliberated.
Information Resources Management Journal, Volume 34, pp 64-78; https://doi.org/10.4018/irmj.2021070104
In Namibia, there is a problem of integration between eHealth and eGovernance. This problem has resulted in the fragmentation, decentralisation, and duplication of processes and patient data. These challenges lead to bigger health problems because diagnoses are duplicated, and rates of mortality increase. From the governance angle, service delivery deteriorates owing to lack of transparency and so accurate evaluation of service quality. This study used an interpretivist perspective to identify the factors that can influence the integration between eHealth and eGovernance in the Namibian environment. A total of 66 papers from the years 2011-2020 were deemed relevant to the study and categorized according to topic and year of publication. Based on the factors identified in the data analysis, the challenges identified were conceptualized in terms of how to address the problem of integration between eHealth and eGovernance in a developing country like Namibia.
Information Resources Management Journal, Volume 34, pp 79-100; https://doi.org/10.4018/irmj.2021070105
Prior studies have demonstrated that halal supply chain knowledge by professionals within an organization is a vital predictor of halal clothing buying intention. This research in contrast explored how supply chain knowledge by retail customers impacts their intention to purchase halal clothing. Customer knowledge includes knowledge of halal resourcing (RES); halal production and design (PRO); halal handling, storage, and packaging logistics (HAN); and halal retailing (RET). An online questionnaire gathered data from 374 retail Muslim customers. The study employed SmartPLS 3 software and PLS-SEM to test the significance of the variables. Regression analysis found that knowledge of halal supply chain practices by retail customers has an important impact on their intention to buy halal fashion.
Information Resources Management Journal, Volume 34, pp 41-63; https://doi.org/10.4018/irmj.2021070103
The acme of this paper was to examine the QR code payment services adoption by retailers in Pakistan. An all-inclusive review of the literature and data analysis has justified the purpose to use this inventive technology. The study established that innovation diffusion theory (IDT) dimensions and convenience impacted the usefulness of QR code payment services which are well-thought-out critical antecedents of accepting future technologies. The inferences of this research work provide valuable acumens for banks, financial institutions, and the government to develop a platform about digital payment for the retailers, wholesalers, and the end consumers. Further, the study approves that QR code payment services will aid to advance the business operations in Pakistan in the COVID-19 pandemic.
Information Resources Management Journal, Volume 34, pp 80-90; https://doi.org/10.4018/irmj.2021040105
The field of artificial intelligence (AI) has evolved considerably in the last 60 years. While there are now many AI applications that have been deployed in high-income country contexts, use of AI in resource-poor settings remains relatively nascent. With a few notable exceptions, there are limited examples of AI being used in such settings. However, there are signs that this is changing. Several high-profile meetings have been convened in recent years to discuss the development and deployment of AI applications to reduce poverty and deliver a broad range of critical public services. The authors provide a general overview of AI and how it can be used to improve global health outcomes in resource-poor settings. They also describe some of the current ethical debates around patient safety and privacy. The research paper specifically highlights the challenges related to women menstrual hygiene and suggests AI technology for improving the menstrual hygiene and healthcare services in resource-poor settings for women. Many health system hurdles in such settings could be overcome with the use of AI and other complementary emerging technologies. Further research and investments in the development of AI tools tailored to resource-poor settings will accelerate the realization of the full potential of AI for improving global health in resource-poor contexts.
Information Resources Management Journal, Volume 34, pp 63-79; https://doi.org/10.4018/irmj.2021040104
This study attempts to empirically examine the role of social media use on the diffusion of e-government and e-commerce. This study departs from previous studies that have investigated social media effects on e-government and e-commerce as silo phenomena without examining the mediating role of other national-level factors. Using data drawn from archival sources for 135 countries for 2016, the study, through a model built on the technology-organization-environment framework, examines the mediating role of other national-level factors by employing partial least squares structural equation modelling. The findings provide evidence that social media use significantly influences the development of e-government and the diffusion of e-commerce globally. However, the mediating role of the political and regulatory environment was found not to be influential. Some implications of the study for research and practice are provided.
Information Resources Management Journal, Volume 34, pp 29-42; https://doi.org/10.4018/irmj.2021040102
Recently, Southeast Asia (SEA) has become a very attractive region for FDI from developed countries. This trend has led to the rapid development of logistics services. However, in the existing literature, there is very little empirical research to compare SEA countries like for example Thailand, Vietnam, Indonesia, and The Philippines. Current studies mainly focus on a single country or some typical industries. Therefore, a comprehensive model with various attributes able to compare which country is performing a better logistics service is still missing. For this reason, the authors conducted this study with the expectation of providing a model that uses attributes able to make it easier to compare and evaluate the attractiveness of logistics services in each country. To do so, the paper uses AHP theory to set up the research model and a questionnaire to obtain data from 23 experts in the logistics industry. Based on an analysis of the results, Vietnam is the most attractive destination for logistics services. This finding was driven by the importance of the government-related attributes. Thailand because of the country's cost competitiveness proved attractive. The results of the study make it easier for managers to assess and select the best suited country for logistics services.
Information Resources Management Journal, Volume 34, pp 1-28; https://doi.org/10.4018/irmj.2021040101
Big data views, in the context of distributed file system (DFS), are defined over structured, semi-structured and unstructured data that are voluminous in nature with the purpose to reduce the response time of queries over Big data. As the size of semi-structured and unstructured data in Big data is very large compared to structured data, a framework based on query attributes on Big data can be used to identify Big data views. Materializing Big data views can enhance the query response time and facilitate efficient distribution of data over the DFS based application. Given all the Big data views cannot be materialized, therefore, a subset of Big data views should be selected for materialization. The purpose of view selection for materialization is to improve query response time subject to resource constraints. The Big data view materialization problem was defined as a bi-objective problem with the two objectives- minimization of query evaluation cost and minimization of the update processing cost, with a constraint on the total size of the materialized views. This problem is addressed in this paper using multi-objective genetic algorithm NSGA-II. The experimental results show that proposed NSGA-II based Big data view selection algorithm is able to select reasonably good quality views for materialization.
Information Resources Management Journal, Volume 34, pp 43-62; https://doi.org/10.4018/irmj.2021040103
User acceptance and satisfaction are important factors when evaluating any technology. This paper investigates the key determinants that drive the adoption of social commerce within the Jordanian community. A modification to the Theory Of Acceptance And Use Of Technology was empirically validated by applying a quantitative survey questionnaire. Several statistical techniques were utilized to examine the modified model. The modified model showed that performance expectancy, effort expectancy, social influence, and enjoyment expectancy are significant influencers of behavioral intentions. Facilitating conditions and behavioral intentions also significantly influence the actual use behavior of social commerce by the Jordanian community sampled. The results indicated that the four proposed moderating variables affect the relation between the expectancy variables and the behavioral variables.