International Journal of Information Management Sciences

International Journal of Information Management Sciences (IJIMS)

Dr. Muhammad Tariq — 2022-12-31

International Journal of Information Management Sciences (IJIMS)

Message of the Editor in Chief

Dr. Muhammad Tariq — 2022-12-31

Message from teh Editor in Chief

The Impact of ERP Implementation on User Satisfaction while Working from Home during Mass Movement Restrictions

Sidanta Oscar Tristan — 2022-09-09

As the COVID-19 pandemic intensified in Indonesia in 2020, companies and organizations have devised measures in order to adapt with the absence of physical workforce presence in the workplace, including implementing work-from-home (WfH) regimes, where the employee conducts work operations from their residence. Adapting into a new working environment, however, is often a considerable challenge for companies and organizations of all stripes, especially in ensuring that users can properly adjust themselves and maintain a degree of work efficiency. The work efficiency of users while using an widespread and integrated company business solution, especially enterprise resource planning (ERP) software is often measured by the overall satisfaction of each user. To measure user satisfaction while using an ERP-based enterprise resource management system for work-from-home operations, this research attempts to conduct a survey in an institution or organization that has been sending employees to work from home by collecting responses from employees. The questionnaire will have each respondent evaluate the three relevant variables (benefits, risks and barriers) while using the ERP based system to work from home, which will then be used to measure its correlation with the users’ satisfaction relative to the three factors using the one-way ANOVA correlation method. Research results have yielded a positive correlation between the variables of system effectiveness and user satisfaction, indicating that the use of ERP is generally satisfactory to its users and that ERP systems prove beneficial in assisting organizations in their WfH regime, within the restrictions of a public health issue and beyond.

Evaluating Local Heritage Knowledge Repository System by Identifying Factors Influencing Individual Impact Using the IS Success Model

Iskandar Yulita Hanum P — 2022-09-09

This paper evaluates the Local Heritage Knowledge Repository System (LHKRS) by identifying the factors which influence the individual impact using the Information System (I.S.) success model. The I.S. success model is a common framework that has been developed and updated by DeLone and McLean, to test an information system. The success model comprised of seven factors: system quality, information quality, service quality, user satisfaction, intention to use, use, and individual impact.

z Findings show system quality and the information quality has a positive impact on use and user satisfaction. The service quality has minimal impact on user satisfaction, and no significance was identified towards use. between the dependent variables, which are use and user satisfaction, user satisfaction had the highest positive impact on individual impact. This seven-dimension model captures the values needed for a successful LHKRS implementation

Media Literacy and Fake News: Evaluating the Roles and Responsibilities of Radio Stations in Combating Fake News in the COVID-19 Era

Durodolu Oluwole O. — 2022-09-09

This study probed into media literacy and fake news by evaluating the roles and responsibilities of radio stations in combating misinformation and conspiracy theories during the COVID-19 era. Situational Crisis Communication Theory (SCCT) highlighted how to better understand communication during a crisis and safeguard an establishment's reputation during an emergency. This investigation embraced the qualitative research technique guided by the ethnography research paradigm, which supports information gathering through observations, interviews and evaluation of extant documented data to produce comprehensive accounts of social occurrences. A focus group discussion among radio station reporters was purposively used as data collection method. The questions put before reporters of the University of Lagos Radio Station (UNILAG Radio) were based on issues relating to strategies, circumstances, sources, modalities and perceptions of fake news during the COVID-19 pandemic. The study discovered that fake news is attractive to people during the time of health emergencies, such as the coronavirus pandemic, because of the attractiveness of social media and the encouragement of certain self-styled social media influencers. This factor was magnified by the fact that people were idle as a result of the lockdown and unemployment was prevalent, while reportage by mainstream media, statistics and social media trends were the convincing reasons why there was anxiety to seek information. In the process, people became victims of misinformation. The study also revealed that radio stations also leverage authentic sources of information from established organisations like the World Health Organisations (WHO) and interviews with health professionals on scientific facts. The radio station reporters agreed that transmitting fake news about COVID-19 should have consequences, and the station school quickly corrected the wrong information and offered an apology.

Forecasting Domestic Tax Revenues in Kenya Using Sarima & Holt-Winters Methods

Micheni Nelson Kirimi — 2022-10-04

Forecasting of tax revenues is an important factor in fiscal planning. Underestimation and overestimation of tax revenues lead to unstable economies. The study sought to find suitable Holt-Winters and SARIMA models that could be used to forecast Domestic tax revenues in Kenya. The study utilized the Domestic tax revenues collected in Kenya between Jan 2015 to December 2020. Analysis of data was done using R-software (version 4.1.0) where SARIMA and Holt-Winters time series forecasting methods were applied to the revenue data. SARIMA(0,1,1)(0,1,1)[12] model was found to be the best model since it had the least Bayesian Information Criterion (BIC=1236.49) and least forecasting errors (MAPE=6.9, MASE=0.37).The multiplicative Holt-Winters method was slightly superior to the additive method due to its lower error (MAPE=7.43). The study recommends the use of the two methods to forecast Domestic taxes in Kenya be used to capture the Domestic taxes revenues with high precision.

Analyzing the Impact of Corporate Social Responsibility on the Profitability of Multinational Companies: A Descriptive Study

Dr. R. Dhaneesh — 2022-12-31

In today's business environment, corporate social responsibility (CSR) is becoming more and more significant. Companies should be concerned about the interests of their stakeholders, but they should also focus greater attention on areas other than just profit-making. Most individuals used to believe that firms exploited customers. This research work intends to find the impact of corporate social responsibility on the profitability of the selected Multinational Companies in India. Five multinational companies were randomly selected and relevant information was collected from the higher officials (n=263) of the selected companies. The study employed techniques including frequency analysis, f-test analysis, and correlation analysis. The results revealed that corporate social responsibility influences corporate reputation and corporate financial satisfaction. In addition, CSR impacts customer satisfaction and customer loyalty. Accordingly, the study suggested that multinational corporations step up their commitment to giving back to society by developing a framework for CSR spending to raise Indians' standards of living to the point where their good reputation will result in a positive and significant increase in profitability, as this is necessary for their continued operation in the nation.