Exploring Purchase Intention using Delivery Services Apps during Covid-19 Pandemic among Malaysian Households

Online services of product delivery apps are more critical than ever. The COVID-19 pandemic has irrevocably altered internet purchasing habits. Customers are getting comfortable using the apps for services to order and do the shopping via their smartphone using the apps. The pandemic has quickened the transition to a more digital world. However, the debate remains as to what elements influence customers' purchase intentions toward using Delivery Services Apps (DSA). This research is therefore carried out to examine the key factors affecting the intention of customers to use delivery services apps among household customers in Malaysia during Covid-19 in 2020 to 2021. The research explored the most significant factors that influence the customer purchase intention on using DSA. There are 4 independent variables which we are focusing on: time factor (TF), price factor (PF), and convenience motivation factor (CMF) and product illustration factor (PIF). From the research, we have found out that convenience motivation factor is the most important exogenous variable that can influence purchase intention directly, sequentially through shopping motivations. The other factors that have a significant impact on a customer's purchase intentions are price factor and time factors. The least important factor that influences a customer’s purchase intention is the product illustrations. The study is carried out by gathering responses from over 167 participants in Malaysia. The objective of the study is to examine the use of online delivery services apps (DSA) to run the businesses efficiently and more effectively in order to attract household customer’s purchase intention. The novelty of this study is by giving the strategies and opportunities to the online business entrepreneurs to enhance and boost their sales by using social media as a platform of online delivery services apps to the community.

Policy Insights to Accelerate Cleaner Steam-Assisted Gravity Drainage Operations

The literature is replete with concerns on the environmental impact of steam-assisted gravity drainage (SAGD), but rigorous analysis of its improved environmental performance over the past 20 years remains unresolved, as well as the underlying technological reasons for this improvement. Here, we present an analysis of historical and future greenhouse gas (GHG) performance of SAGD operations in Alberta, Canada, considering for the first-time factors that affected technology deployment. Depending on the case, the results show a reduction of 1.4–24% of SAGD GHG intensity over the past 12 years. Improvements mainly arise from incremental changes adopted based on technical, environmental, socio-economic, and policy drivers. Considering these factors, we propose policy interventions to accelerate further reductions of GHG emissions. However, if similar behaviour from industry continues, anticipated GHG intensity reduction will range between 6.5–40% by 2030, leading to an intensity between 58 and 68 kgCO2e/bbl. It still remains unclear if in situ oil sands bitumen extraction will reach current conventional oil emission intensities. Thus, we suggest that the SAGD industry drastically accelerate its deployment of cleaner oil sands extraction technologies considering the policy insights proposed.

A study on stochastic modelling of the repairable system

All reliability models consisting of random time factors form stochastic processes. In this paper we recall the definitions of the most common point processes which are used for modelling of repairable systems. Particularly this paper presents stochastic processes as examples of reliability systems for the support of the maintenance related decisions. We consider the simplest one-unit system with a negligible repair or replacement time, i.e., the unit is operating and is repaired or replaced at failure, where the time required for repair and replacement is negligible.When the repair or replacement is completed, the unit becomes as good as new and resumes operation. The stochastic modelling of recoverable systems constitutes an excellent method of supporting maintenance related decision-making processes and enables their more rational use.

Survival of SSG, an Endophytic Burkholderia Biocontrol Agent, on the Boxwood Leaf Surface

Survival of Burkholderia cepacia complex (Bcc)-based biocontrol agents (BCA) has been associated with their field performance for foliage disease control. SSG, a strain of boxwood endophytic Bcc, suppresses a broad spectrum of plant foliage diseases, including boxwood blight, but the control efficacy declines over time. Factors affecting SSG survival on leaf surfaces were investigated to promote the application of the BCA for boxwood blight management. ‘Justin Brouwers' boxwood plants were treated with SSG cells at 107 to 108 colony-forming unit (CFU)·ml−1, maintained in a moist chamber at 10, 20, or 30 C (50, 68, 86 F), and sampled after the inoculum was blow-dried at 0, 3, 6, 12, and 24 h after treatment. The retained cells per leaf at 0 hours was 105 to 106 CFU, but only less than 10% of the cells survived 24 h after application, irrespective of the wet period and temperature. A wet condition of 12 and 24 h at 20 and 30 C facilitated SSG survival on the second day. Further survival of SSG was affected by temperature but not wetness. Damp conditions and pleasant temperatures can improve bacteria survival and stability and are keys to promoting BCA field applications. Index words: Biocontrol agent, endophyte, survival on plant surfaces, temperature, wetness. Species used in this study: Bacterium strain, SSG (Burkholderia sp);Plant species: Buxus sempervirens L. ‘Justin Brouwers'.

Synthetic Difference-in-Differences

We present a new estimator for causal effects with panel data that builds on insights behind the widely used difference-in-differences and synthetic control methods. Relative to these methods we find, both theoretically and empirically, that this “synthetic difference-in-differences” estimator has desirable robustness properties, and that it performs well in settings where the conventional estimators are commonly used in practice. We study the asymptotic behavior of the estimator when the systematic part of the outcome model includes latent unit factors interacted with latent time factors, and we present conditions for consistency and asymptotic normality. (JEL C23, H25, H71, I18, L66)

Study on Time Factors in the Smoke Control Process of Highway Tunnel Fires

Fire is the most deadly risk during tunnel operation. Early rapid response and a reasonable smoke control plan are very important to evaluate tunnel fire performance. In order to study the relevant time factors for smoke management in a highway tunnel, firstly, the logical sequence and time of the fire alarm system (FAS) startup are investigated and analyzed. Then, according to the one-dimensional fluid mechanics model, the time rule of adjusting the airflow field in the tunnel from the normal operation stage to the emergency ventilation state is analyzed theoretically. Finally, the abovementioned theoretical formulas are verified through the employment of model experiments. The analysis shows that the time that passes from the start of the fire to when the exhaust fan is activated is close to 3 minutes. The time required to form a stable critical wind speed, however, is close to 7 minutes, which is longer than the 5 minutes it takes for the fire to reach its maximum temperature. Due to inertia, it takes about 0.5 to 2 minutes for the air velocity in tunnels of different lengths to drop from the traffic piston wind speed to the critical wind speed. If reverse smoke extraction is required, however, the duration is between 3 and 8 minutes. The conclusion is of guiding significance for the preparation of the emergency linkage control scheme for tunnels, as well as for the setting of initial boundary conditions for CFD fire simulations.

The perceptions of newly qualified nurses on the guidance by preceptors towards becoming experts in nursing

Background: The new role as professional nurse can be a difficult transition for the new qualified nurses. During this time, factors such as not being well prepared, working without supervision and a lack of guidance can be the result of a difficult transition.Objectives: The purpose of this study is to assess the perceptions of newly qualified nurses on the guidance given by their preceptors towards becoming experts in practice at a Level II regional hospital in the Western Cape.Method: A non-experimental quantitative descriptive design was followed. Collection of data was done by means of a questionnaire, designed by the researcher, using a cross-sectional research method. Non-probability sampling produced a sample of 162 nurses comprising registered nurses (48.2%), enrolled nurses (32.7%), and enrolled nursing auxiliaries (19.1%). Statistical analysis was performed using the Statistical Analysis System (SAS), version 9.3.Results: The results of the research study indicated that respondents had more positive experiences than negative ones. The respondents indicated that for the role and characteristics of the preceptor, expectations were met for knowledgeability, professionalism and contribution to team work. Furthermore, the results indicated that the respondents would recommend preceptorship.Conclusion: Preceptorship is one of the major interventions available to support newly qualified nurses by easing the transition from student to practicing nurse and reducing the theory-practice gap. The findings emphasised the importance of ongoing support programmes for nurses after obtaining a new qualification or/and being a new nurse.

Evaluation of an SMS-based mHealth intervention to enhance early infant diagnosis follow-up testing and assessment of postnatal prophylaxis

Background: Adherence to infant antiretroviral (ARV) postnatal prophylaxis and early infant diagnosis (EID) uptake is low in Africa. Promoting EID and adherence are necessary for this age group.Objectives: We evaluated an SMS-based mobile health (mHealth) intervention to enhance adherence to ARV prophylaxis and knowledge of EID and prevention of mother-to-child transmission (PMTCT) among high-risk and low-risk mother–infant pairs.Method: Two hundred and fifty-one mothers were recruited from King Edward VIII Hospital between December 2018 and October 2019. Participant information was captured, and SMS reminders were sent postnatally to promote immunisation attendance. Follow-up HIV polymerase chain reaction (PCR) test results were reviewed, and telephonic interviews were utilised for qualitative data.Results: In all, 73.3% of infants had HIV PCR tests performed at 10 weeks. This high rate could be attributed to the mHealth intervention as this is considerably higher than other national studies, though not statistically significant compared to rates reported in the district at the same time. Factors that have impacted follow-up EID rates include poor maternal knowledge of EID time points and inadequate implementation of national PMTCT protocols. High-risk mothers were younger, commenced antenatal clinic visit later, were less knowledgeable on prophylaxis and have lower-birthweight infants than lower-risk mothers.Conclusion: mHealth can play an important role in improving EID by increasing maternal knowledge. Further studies should focus on whether maternal education over an mHealth platform can increase knowledge on PMTCT and subsequently increase EID.