International Journal of Services Operations and Informatics
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International Journal of Services Operations and Informatics (6 papers in press)
Government data analytics, innovative, absorptive and citizens-demand sensing capability:A fuzzy set analysis by Yousef Riyad Al-Saraireh, Murat Akkaya, Arif Sari Abstract: Big data has been widely associated with business enterprises. Recent theoretical and practical evidence denote that the use of Big data by government can boost service quality, accountability and decision-making. This paper draws on knowledge-based theory (KBT) to demonstrate how government data analytics (GDA) practices fosters innovation, absorptive and citizens-demand sensing capability in the public sector. Survey data were obtained randomly from employees working in the Jordanian Interior ministry and a fuzzy sets (fsQCA) technique was used to analyse the data. According to the findings from fsQCA: GDA practices and organisational tenure are the necessary recipes for innovative capability, citizens-demand sensing capability and absorptive capability. However, employees age, income and education were not important recipes. Implications for theory and practices are discussed alongside the limitations and future research direction. Keywords: Government data analytics; innovative; absorptive and citizens-demand sensing capability: A fuzzy set analysis. DOI: 10.1504/IJSOI.2020.10027172
Design of a Novel Big Data Analytical Model for Processing the Unstructured Data Contents by Harika Vanam, Jeberson Ratna Raj Abstract: The advancement of exact wellbeing health condition prediction has been a key research subject starting late. In any case, current health condition expectation strategies are not exact enough, which has transformed into the bottleneck for accomplishing the full force of condition-based upkeep (CBM). Neural framework based systems have been seen as a promising class of strategies for health condition expectation. In this paper, we propose a neural system expectation model called Artificial Neural Network based Particle Swarm Optimization (ANN-PSO) algorithm. Artificial Neural Network classifier is utilized to identify the health condition. Moreover, Particle Swarm Optimization algorithm is coordinated with ANN for giving better outcome by decreasing the errors. The outcomes show the capacity of the ANN-PSO based methodology for satisfactory health condition prediction results. This proposed approach is tested results using medical based big data in Hadoop framework. The proposed work is implemented in the working stage of JAVA Keywords: ANN-PSO; health condition; GOA; error; classifier; accuracy.
SWOT Analysis of Information Security Management System ISO 27001 by Daniel Schatz, Iretioluwa Akinyemi, Rabih Bashroush Abstract: Information Security is considered one of the main concerns for many organisations with no signs of decreasing urgency in the coming years. In this work, we used a combination of research methods (interviews and workshops) to conduct a SWOT analysis on the ISO 27001 Standard. The findings from the SWOT were then validated using a survey covering auditors, consultants and researchers in the field. Finally, the results were validated and analysed using various statistical methods. Our findings show that there was a generally positive view on the Keywords: Information Security Management Systems; Information Security Risk Management; security control framework; IT audit.
Internet Banking Adoption among Generation Y Customers: An Application of Extended TAM by Siamand Hesami, Korhan Gokmenoglu Abstract: The purpose of this study is to examine the factors that affect the intention of Generation Y consumers to adopt internet banking services using the basic and extended Technology Acceptance Model using Structured Equation Modeling. This study investigated responses from 270 participants aged 18 to 35 years old on adopting internet banking services. Empirical findings showed Perceived Usefulness as the strongest determinant of behavioral intention towards internet banking adoption, followed by Social Influence and Perceived Ease of Use. The results suggest that the usefulness of internet banking and its ease of use are key factors affecting internet banking adoption. The study also reveals that social influence has a key role in encouraging Generation Y to use internet banking. These findings imply several policy recommendations which we discussed in detail in the Implications and Limitations section. Keywords: SEM; TAM; Generation Y; Internet Banking; Social Influence; Perceived Security. DOI: 10.1504/IJSOI.2020.10032646
A Trade Credit Policy in an EOQ Model with Stock Sensitive Demand and Shortages for Deteriorating Items by Nidhi Handa, S.R. Pundir, Neha Punetha, Shilpy Tayal Abstract: Here, an EOQ inventory model with stock dependent demand under multiple cases of permissible delayfor deteriorating items has been derived. In corporate world, the proper stock level attracts the consumers and has a positive impact on sale. In this sense the demand rate is stock dependent which attracts the consumers to purchase more. Trade credit on payment works as a publicity tool. The shortage occurs and partially backlogged in which backlogging rate is exponentially decreasing. Convexity of the optimal solution for different cases of trade credit has been discussed. The model is exemplified numerically for different cases. The impact of demand parameter, deterioration rate, backlogging parameter and interest earn rate on critical time as well as on total system cost are mentioned by sensitivity analysis. Aim of this paper is to find optimum cost. Mathematica 11.3 is used here. Keywords: Stock dependent demand; Deterioration; EOQ; Partial backlogging; Trade credit. DOI: 10.1504/IJSOI.2020.10032706
RFID Traceability for Structure Fires: Lethbridge Fire Department Case by Afrooz Moatari-Kazerouni, Caraline Smith Abstract: National Fire Protection Association has identified disorientation within building structures as a leading cause of critical injury for firefighters. Firefighters frequently encounter unfamiliar environments which are often obstructed with heavy smoke and hazards. Detecting an injured or distressed firefighter is dependent on navigational systems which are limited in scope and capability. Radio frequency identification (RFID) can be adopted as a beneficial technology for firefighters navigation. This research proposes firefighters safety and accountability improvements via case study. Through collaboration with the Lethbridge fire department, AB, Canada, a critical assessment of implementing RFID within their work was assessed by gaining the experts opinions. Interviews and surveys are gathered and the business process reengineering (BPR) model is used for analysing the practicability of RFID technology. Results suggested sewing an active RFID tag onto the back of upper left arm on a firefighters turnout coat. This recommendation adapts current technology designs for firefighters efficiently and traceability improvements. Keywords: Process improvement; Business Process Re-engineering (BPR); traceability and navigation; radio frequency identification (RFID); firefighting services. DOI: 10.1504/IJSOI.2021.10032874