Heat Generation of Bulk-fill Composites Polymerized by Multipeak Versus Single Peak Light Curing Units

Background: Multipeak light-curing units (LCUs) are gaining popularity due to potential need to activate different photoinitiators. One of the risks associated with using LCUs is heat generation which can reach the pulp chamber through restorative materials and may cause an adverse pulp reaction. However, there is a limited data on heat generation potential of multipeak as compared to single peak LCUs. Objective: Evaluate the difference in heat generation, and transmission from single peak versusmultipeak LED-LCUs through dentin and different bulk-fill resin-based composites (BFRCs) at pulpal wall (PW). Materials and Methods: A single extracted sound human molar was used for standardized test set-up. A tunnel was prepared lingually to expose buccal-pulpal-axial-wall, and a box cavity, measured (2.5x3.5x3mm), was prepared buccally for BFRCs placement. A 0.5 mm remaining dentin thickness was left between PW and buccal cavity preparation. The PW was reflected to thermal-infrared-camera (Thermovision-A320, FLIR) via minimal-energy-loss mirror (λ/4 First Surface Mirror, Edmund Industrial Optics) to measure temperature changes on PW indirectly and on BFRC directly. Four multipeak LCUs (Bluephase G2, Ivoclar Vivadent; Bluephase PowerCure, Ivoclar Vivadent; D-Light Pro, GC Europe; Valo Cordless, Ultradent) and one singlepeak LCU (Demi Ultra, Kerr) were compared when photopolymerizing two BFRCs (Tetric EvoCeram Bulk Fill(TEB), Ivoclar Vivadent; Filtek One Bulk Fill Restorative (FOB), 3M ESPE). No bonding agent was used for easy removal of the BFRC after each cycle. BFRCs were photopolymerized for 10 seconds, and PW and BFRCs temperatures were recorded for 90 seconds. Four measurements were calculated for each LCU/BFRC combination: baseline to maximum temperatures (ΔT), time to reach maximum temperature (t), duration ofthe temperature above threshold (Δt), and heat transmission rate to PW (Q) using ThermoVision®ExaminIR™ (FLIR systems) software. Data were statistically analyzed using One-way ANOVA (p\u3c0.001), Tukey’s post-hoc tests, and Tukey HSD tests. Results: In both BFRC groups, Valo Cordless, followed by Demi Ultra, generated significantly lower ΔT than other LCUs. Bluephase G2 has a significantly longer duration (Δt) in both BFRC groups. No significant difference was noted in (t) between groups. TEB had significantly higher temperature values (ΔT) and longer duration (Δt) when photopolymerized with all LCUs except Valo Cordless. FOB showed a significantly lowest Q when photopolymerized with Valo Cordless, while TEB showed the lowest Q when photopolymerized with Demi Ultra. Conclusion: Some LCUs can induce more heat generation and transmission than others and can impose an additional risk of pulp injury, but not necessarily between multipeak and single peak. Different BFRCs can heat up differently, and consequently can impose an additional risk of pulp injury

Adopting An Extended UTAUT2 To Predict Consumer Adoption Of M-Technologies In Saudi Arabia

Mobile Data Services (MDS) such as the Mobile Internet and Mobile Government influence various life aspects in the Kingdom of Saudi Arabia (KSA); yet, few empirical studies have been considered in order to expand these applications in the KSA context. This study targets and then analyses the existing knowledge in M-Internet and M-Government fields, then the study will provide future suggestions for adopting factors that will radically increase the use of the aforementioned services. Through detecting the most relevant 57 empirical studies out of 287 relevant researches, various relations are impeded in different IT models and they have been examined in order to investigate theoretical gaps that may require further research. The author’s research shows that adopting an extended model of UTAUT2 with two new variables, i.e. Risk and Trust will arouse and substantially spread M-Internet and M-Government. Moreover, this paper will assert on the importance of the interrelationship among the main variables of UTAUT2, i.e. the influence of Effort Expectancy (EE) over Performance Expectancy (PE)

Tren Fenomena ‘Pisidi\u27 (Pikun Usia Dini) sebagai Dugaan Awal Gejala Demensia di Kota Malang

The incidence and prevalence of dementia in Indonesia hasn\u27t been precisely determined yet, especially in Malang city. The purpose of this study is to identify the prevalence of ‘PisiDi\u27 phenomenon as the early symtoms of dementia with Clock Drawing Test. The study design was Observational Analitical with cross-sectional method. The ‘PisiDi\u27 phenomenon could be indicated as the early symptom of dementia. The prevalence of respondents with early symptom of dementia was (12%) for group I and II, III (23%), IV (26%), and V (27%) in Malang City. The highest rate were obtained at Lowokwaru district (28%) equals with 34 people

Consumer use of mobile banking (M-Banking) in Saudi Arabia: Towards an integrated model

YesMobile banking is one of the most promising technologies that has emerged in recent years and could prove to have considerable value to both banks and customers. Thus, this study recognises the need to test the main factors that could predict the use of mobile banking as well as how using such a system could contribute to both customer satisfaction and customer loyalty. The conceptual model of this study combines two models (i.e. UTAUT2 and the D&M IS Success Model). A questionnaire survey was conducted to collect the required data from convenience sampling of Saudi bank customers. The main factors – performance expectancy, price value, facilitating conditions, hedonic motivation, habit, system quality and service quality – were found to have a significant impact on actual use behaviour. This study was cross-sectional, therefore future studies should implement longitudinal studies in order to re-collect the findings. Further, this study adopted convenience sampling of Saudi M-Banking users. This may adversely impact the issue of generalisability to the whole population. The gap in the M-Banking literature in Saudi Arabia would be bridged by proposing a comprehensive conceptual model that scrupulously clarifies the use of M-Banking from the perspective of Saudi users. Furthermore, this study would consider the adoption of numeric data in order to inferentially analyse them using SEM. This in turn would assist in generalising the findings to the whole Saudi population

Exploring barriers of m-commerce adoption in SMEs in the UK: Developing a framework using ISM

YesIn the modern business era, mobile commerce (m-commerce) is changing the way the business is conducted using the Internet. However, the prominence of m-commerce among small and medium-sized enterprises (SMEs) in the UK is minimal. The purpose of this study is to evaluate the existing literature and to extend the research surrounding the barriers that prevent the adoption of m-commerce amongst SMEs. The study uses an Interpretive Structural Modelling (ISM) and MICMAC approach for guiding and helping managers of SMEs. Data was collected from an expert participant group each of whom had extensive knowledge of m-commerce. The findings represent the unstable nature of variables in the context of their impact on each other, their relationships, and themselves. The listed factors in the proposed framework and the interrelationships between them highlight the multi-dimensional element of m-commerce adoption prevention. This observation proves criticality of analysing data as a collective entity rather than viewing the barriers in isolation. The findings also indicated ‘perceived risk’ being a key barrier that demonstrates how personal opinions of the concept of adoption can have a great significance on the outcome and whether other variables will come into effect

Examining the impact of mobile interactivity on customer engagement in the context of mobile shopping

YesPurpose – This study aims to examine the impact of mobile interactivity dimensions (active control, personalization, ubiquitous connectivity, connectedness, responsiveness, and synchronicity) on customer engagement. Design/methodology/approach – A quantitative field survey study was conducted to collect the required data from actual users of mobile shopping in three countries: Jordan, the United Kingdom (UK) and Saudi Arabia. Findings – The results are based on structural equation modelling and support the impact of five dimensions of mobile interactivity: active control, personalization, ubiquitous connectivity, responsiveness, and synchronicity. Research limitations/implications – This study only considered the shopping activities conducted by mobile channels, while other channels (e.g. online channels, traditional channels, and social media shopping channels) are not considered. Furthermore, the current model does not consider the impact of personal factors (e.g. technology readiness, self-efficacy, user experience). The results of the current study present a foundation that can guide marketers and practitioners in the area of mobile shopping. Originality/value – This study enriches the current understanding of the impact of mobile interactivity on mobile shopping, as well as how mobile interactivity can enhance the level of customer engagement

Citizens’ Perception About M-Government Services: Results from an Exploratory Survey

The development of mobile technology is facilitating the transformation in a way that governments deliver their services. Mobile government is one area that has received very little research, but it can have a tremendous impact on the way citizens engage with their government. This research analyses the data gathered from 81 respondents through online survey on the various aspects of mobile government and collects their views on some of the key questions related to the use of mobile government. The findings showed that although citizens are aware of the possibilities they hardly used mobile devices as a direct communication channel with government. Most users tend to use social media platforms and social media is used as an intermediary between government and citizens. The findings of this research also indicated that although the users are well aware of m-government services and own smartphones, only a handful of them use their mobiles for accessing government services

Fintech and contactless payment: Help or hindrance? The role of invasion of privacy and information disclosure

Purpose: There is always a need to discover how a paradox between a customer’s desire for a more personalized experience and their privacy and security concerns would shape their intention to continue using contactless payment methods. However, personalization–privacy paradox has not been well-covered over the area of contactless payment. Therefore, this study aims to empirically examine the impact of personalization–privacy paradox on the customers’ continued intention (CIN) to use contactless payment. Design: /methodology/approach – The empirical part of the current study was conducted in Saudi Arabia by collecting the primary data using online questionnaire from a convenience sample size of 297 actual users of contactless payment methods. Findings: Based on structural equation modeling, personalization and privacy invasion were approved to significantly impact perceived value of information disclosure (PVD). Strong causal associations were confirmed between perceived severity, structural assurance and response cost with privacy invasion. Finally, both PVD and privacy invasion significantly predict CIN. : There are other important factors (i.e. technology interactivity, technology readiness, social influence, trust, prior experience, etc.) were not tested in the current study. Therefore, future studies would pay more attention regarding the impact of these factors. The current study data were also collected using a convenience sample of actual users of contactless payment methods. Therefore, there is a concern regarding the generalizability of the current study results to other kind of customers who have not used contactless payment. Originality/value: This study has integrated both personalization–privacy paradox and protection motivation theory in one model. The current study holds value in providing a new and complete picture of the inhibitors and enablers of customers’ CIN to use contactless payment, including new types of inhibitors. Furthermore, personalization–privacy paradox has not been fully examined over the related area of Fintech and contactless payment in general. Therefore, this study was able to extend the theoretical horizon personalization–privacy paradox to new area (i.e. contactless payment) and new cultural context (Saudi Arabia)

An integrated model for m-banking adoption in Saudi Arabia

YesPurpose The purpose of this paper is to identify and examine the most important factors that could predict the Saudi customer’s continued intention towards adoption of mobile banking. Design/methodology/approach The proposed conceptual model was based on the technology acceptance model (TAM) and task-technology fit (TTF) model. This is also expanded by considering two additional factors: perceived privacy and perceived security. By using a self-administered questionnaire, the data were collected from a convenience sample of Saudi banking customers from different parts of Saudi Arabia. Findings The main results based on structural equation modelling analyses supported the impact of perceived privacy, perceived security, perceived usefulness and TTF on the customers’ continued intention to use mobile banking. Research limitations/implications The moderation influence of the demographic factors (i.e. age, gender, income level, educational level) was not tested. The data were also collected using a self-report questionnaire; however, it would be more accurate to utilise more statistics from the bank database about the users of m-banking. Originality/value This study represents a worthy attempt to test such novel technology (m-banking) in the KSA where there is a scarcity of literature. A considerable theoretical contribution was also made by integrating the TTF model with the TAM in addition to consider privacy and security in one single model. Moreover, considering both perceived privacy and security in the current model creates an accurate picture about the adoption of m-banking especially as there are a limited number of m-banking studies that have considered privacy and security alongside the TTF model and TAM in the same model

Achieving superior organizational performance via big data predictive analytics: A dynamic capability view

The art of unwinding voluminous data expects the expertise in analyzing meaningful decisions out of the acquired information. To encounter new age challenges, practitioners are trying hard to shatter the constraints and work edge-to-edge to achieve higher performance (Market, Financial and Operational performance). It is evident that organizations desire to exploit maximum of their injected resources, but often fail to reap their actual potential. Developing resource-based capabilities stands out to be the most concerned aspect for the firms in recent times, and the same is studied by the previous scholars. In the dearth of literature, it is challenging to find out evidence which marks up the effect of strategic resources in the development of dynamic organizational capability. This study is a two-fold attempt to examine the relationship between organizational capabilities, i.e. big data predictive analytics while achieving superior organizational performance; also, examining the effect of control variables on superior organizational of performance. We tested our research hypotheses using cross-sectional data of 209 responses collected using pre-tested single-informant questionnaire. The results underpin criticality human factor while developing analytical capabilities dynamic in nature in the process of achieving superior performance