Investigating the factors affecting the intention to adopt cloud-based ERP systems during the COVID-19 era: evidence from Jordan

Purpose: Generally, the use of cloud-based services has proliferated all around the world. This tendency increased dramatically during the coronavirus disease 2019 (COVID-19) pandemic when many people were obliged to conduct business remotely. This research study aims to investigate the intentions to adopt (IA) cloud-based enterprise resource planning (ERP) systems in Jordan, as this sort of research is scarce in developing countries. Specifically, this research study combined the model of Diffusion of Innovation (DOI) and the Technology-Organization-Environment (TOE) framework, in addition to looking at COVID-19 as a moderating variable. Design/methodology/approach: Data were collected from 60 participants working in Jordanian companies that currently use, or have the intention to use, cloud-based ERP systems. An online questionnaire was developed and used to collect responses. The study hypotheses were examined statistically using simple regression analysis and hierarchical multiple regression. Findings: The study results clearly indicate that complexity, observability, employee information technology (IT) skills, organizational culture (OC) and top management support significantly affect the intention to adopt cloud-based ERP systems. In contrast, relative advantage (RA), compatibility, trialability, regulatory environment and competitive pressure had no significant effect on adoption intention. Interestingly, the advent of COVID-19 increased the intention to adopt cloud-based ERP systems. Research limitations/implications: The study's findings will provide theoretical and practical suggestions for the effective adoption of cloud ERP in Jordan, as well as aiding other developing nations in comparable situations in implementing cloud-based ERP systems. Originality/value: The study enriches the knowledge and further examines the underlying reasons for adopting cloud-based ERP systems in a developing country. © 2023, Emerald Publishing Limited.

Investigation of Consumer Intention toward Online Shopping During Covid-19 Pandemic

This study aims to explore the factors affecting the consumer intention toward online shopping during the Covid-19 pandemic, by examining 8 factors, the Perceived Lack of Alternatives, Perceived External Pressure, and Perceived Controlled Behavior on consumer Intention, and Perceived Usefulness, Perceived Ease of Use, Perceived Risk and Subjective Norm on consumer intention with a mediating effect of consumer Attitude. Online questionnaire had been built to evaluate all variables in the conceptual model, and snowball sampling technique had been applied. A total of 817 participants has responded to the questionnaire, all from Jordan with a mix of different educational backgrounds, ages, gender, marital status and financial income. Confirmatory factor analysis, multi-regression and path analysis was run using AMOS 26.0, and frequencies statistics has been done using SPSS 26.0. This study data analysis revealed that Perceived Lack of Alternatives and Perceived External Pressure has no significant impact on consumer intention, whereas Perceived controlled behavior found to have a significant influence on consumer intention. The results also revealed that Perceived Usefulness, Perceived Ease of Use, Perceived Risk and Subjective Norm has significant influence on consumer intention with a mediating effect of consumer Attitude. Understanding consumer behavior during Covid-19 could reveal insights for customers’ intention toward online shopping after the pandemic. This research has developed an integrated model to show the factors that determine the customers’ intention for online shopping. These factors can help the retailers to adopt the new norm of life after the Covid-19 pandemic and allocate investments to transform their traditional business models and switch to online shopping platforms. © 2022 NSP Natural Sciences Publishing Cor.

Potential drug related problems in the time of covid-19

Background and importance Drug related problems (DRP) are common among hospitalised patients. During the COVID-19 pandemic, the number of inpatients increased and the pattern of drug use was varied which could lead to a higher number of potential DRP. Aim and objectives To describe DRP in patients admitted to COVID-19 wards during the COVID-19 pandemic peak. Material and methods A retrospective observational study was performed in a tertiary university hospital from 21 March to 30 April 2020. Patients included were those admitted to a COVID-19 ward and presenting a DRP (excluding emergency department and critical care units). Computerised physician order entry (CPOE) operates for all hospital beds. Medical prescriptions were revised daily by clinical pharmacists. When a potential DRP was detected, an annotation with a recommendation was made in the patient's medical record. DRP were classified according to the Pharmaceutical Care Network Europe classification. Data collected were demographic, the drug class involved (anatomical chemical therapeutic (ATC)), DRP detected and degree of recommendation acceptance. Results Total patients with DRP: 291 (23.3%). Identified DRP: 393 (1.4 DRP/patient). 58.3% were men and median age was 63 (15.7) years. Conclusion and relevance Almost 25% of all patients had a DRP, presenting an incidence of 1.4 DRP/patient, higher than reported in previous series. 83% of evaluable recommendations were accepted. One-third of the recommendations were derived from a wrong dosage, and 15% from drug interactions. Hydroxychloroquine was the most frequently involved drug, probably because of the limited experience and wide spectrum of interactions, followed by antimicrobials such as ceftriaxone and azithromycin, used widely in respiratory tract infections.

4CPS-384 Potential drug related problems in the time of COVID-19

4CPS-384 Table 1PRM Wrong dosage Overdose 90 (22.9) Underdose 38 (9.7) Out of protocol 78(19.8) Interactions Adverse event potentiation 34 (8.7) Induction/inhibition 15 (3.8) Bioavailability alteration 12 (3.1) Prescription error by incorrect use of CPOE 41 (16.1) Renal impairment 25 (6.4) Indication Inexistent drug 16 (4.1) Unnecessary drug 9 (2.3) Other 35 (8.9) Recommendation Acceptance rate Accepted 284 (72.2) Non-accepted 60 (15.2) Non-evaluable 49 (12.5) Drug involved P Hydroxychloroquine 90 (22.9) J Ceftriaxone 65 (16.5) Azithromycin 27 (6.9) Lopinavir/ritonavir 6 (1.5) Dolutegravir 1 (0.02) Other 14 (3.6) A Calcifediol 34 (8.6) Vitamin B 2 (0.5) Saccharomyces boulardii 9 (2.3) Calcium carbonate 4 (1.0) Potassium 4 (1.0) H Dexamethasone 25 (6.4) Methylprednisolone 4 (1.0) B Enoxaparin 15 (3.8) AAS 2 (0.05) Apixaban 2 (0.05) Acenocumarol 1 (0.02) R Respiratory system 13 (3.3) C Lipid modifying agents 10 (2.5) Diuretics 7 (1.8) N Psychoanaleptics 7 (1.8) V Various 8 (2.0) Other 43 (10.9) Conclusion and relevanceAlmost 25% of all patients had a DRP, presenting an incidence of 1.4 DRP/patient, higher than reported in previous series. 83% of evaluable recommendations were accepted. One- third of the recommendations were derived from a wrong dosage, and 15% from drug interactions. Hydroxychloroquine was the most frequently involved drug, probably because of the limited experience and wide spectrum of interactions, followed by antimicrobials such as ceftriaxone and azithromycin, used widely in respiratory tract infections.References and/or acknowledgementsConflict of interestNo conflict of interest