38 research outputs found
The p-value and corresponding effects associated with significant constructs.
No full textThe p-value and corresponding effects associated with significant constructs.</p
Learning from a distance during a pandemic outbreak: Factors affecting students' acceptance of distance learning during school closures due to COVID-19
Full text linkDistance learning has become the only solution for learning in the current Covid-19 pandemic outbreak. A more straightforward form of distance learning with the utilization of telepresence and cloud-based productivity tools was apparent in many institutions. The present study investigated this phenomenon and ask, “What factors affect students’ acceptance of distance learning during school closures due to COVID-19?”. An extended Unified Theory of Acceptance and Use of Technology was employed to answer the research question, with 156 students participating in the study. The result revealed that Effort Expectancy (EE) has the biggest effect on students’ acceptance of distance learning during school closures (β=0.372, p<0.001). Additionally, the extended variable of Socia l Presence (SP) was also showing great effects on students' acceptance (β=0.296, p<0.001). However, one of the UTAUT constructs, Facilitating Conditions, was found to have no effect on students' acceptance. Practical implications for schools and distance learning program managers were discussed to provide insight on improving a distance learning program. This study contributes to the body of knowledge on learning technologies as well as on how society, especially in the educational sector, should continue despite the current pandemic crisis
Reasons to Ban? The Anti-Burqa Movement in Western Europe
Full text linkOriginally published at http://www.mmg.mpg.de/en/publications/working-papers/2012/
'Our Working Papers are refereed and may be downloaded from this site by individuals, for their own use, subject to the ordinary rules governing the fair use of professional scholarship. Working Papers may be cited without seeking prior permission from the author.
A Simulated Annealing Algorithm for Solving Two-Echelon Vehicle Routing Problem with Locker Facilities
No full textWe consider the problem of utilizing the parcel locker network for the logistics solution in the metropolitan area. Two-echelon distribution systems are attractive from an economic standpoint, whereas the product from the depot can be distributed from or to intermediate facilities. In this case, the intermediate facilities are considered as locker facilities present in an accessible location in the vicinity of the final customers. In addition, the utilization of locker facilities can reduce the cost caused by the unattended deliveries. The problem is addressed as an optimization model that formulated into an integer linear programming model denoted as the two-echelon vehicle routing problem with locker facilities (2EVRP-LF). The objective is to minimize the cost of transportation with regards to the vehicle travelling cost, the intermediate facilities renting cost, and the additional cost to compensate the customer that needs to travel to access the intermediate facilities. Because of its complexity, a simulated annealing algorithm is proposed to solve the problem. On the other hand, the modelling approach can be conducted by generating two-phase optimization model approaches, which are the p-median problem and the capacitated vehicle routing problem. The results from both methods are compared in numerical experiments. The results show the effectiveness of 2EVRP-LF compared to the two-phase optimization. Furthermore, the simulated annealing algorithm showed an effective performance in solving 2EVRP-LF
Constructed questionnaire for structural equation modeling.
No full textConstructed questionnaire for structural equation modeling.</p
The model fit indices for structural equation modeling.
No full textThe model fit indices for structural equation modeling.</p
Statistical identifiers using correlation approach.
No full textStatistical identifiers using correlation approach.</p
Final theoretical framework.
No full textIU: Interactive Uncertainty; PP: Perceived Performance; C: Confirmation; PE: Physical Environment; AE: Attitude of Employees; SE: Service Experience; PA: Price Acceptance; TS: Tourist Satisfaction; CVB: Continuous Visiting Behavior.</p
Analyzing Factors That Influence the Behavior Intention of Consumer in Purchasing the Surabaya Apartment
Full text linkThe supplies of apartments in Surabaya keep increasing, which was predicted from 2018 to at least 2022. However, this supplies were contradicted with the demand from market, which is stagnant or decreased. The present research tries to measure the consumers' behavior intention towards the purchasing apartment. The well famous Theory of Planned Behavior (TPB) is used in this research as the measurement model. Furthermore, the TPB is extended with several factors. The extended TPB consists of seven factors namely: Attitude (ATT), Subjective Norms (SN), Perceived Behavior Control (PBC), Perception (P), Lifestyle (L), and the Behavior Intention (BI). Five hypotheses are proposed. The analysis on this research is confirmatory factor analysis (CFA) with structural equation model (SEM). The factors are instrumented through questionnaires. The questionnaires are distributed through offline and online sample with purposive sampling method. In more detail, the sampling will be taken from marketing events, brokers, and building management and the 300 respondents are targeted. The expected result from this research can be used as references for developers, consumers, and brokers in order to enhance the knowledge regarding the consumers' perception. From the results of the analysis of several factors from the Extended Theory of Planned Behavior mentioned above, it is known that the factors that are proven to influence consumer behavior intentions when making apartment purchases are 3 factors including the following: Attitude (ATT), Perception (P) and Lifestyle (L) while two other factors Subjective Norms (SN) and Perceived Behavior Control (PBC) are proven not to influence consumer behavior intentions when making apartment purchase
Factors Affecting Customer Satisfaction and Loyalty in Online Food Delivery Service during the COVID-19 Pandemic: Its Relation with Open Innovation
No full textOnline food delivery service (OFDS) has been widely utilized during the new normal of the COVID-19 pandemic, especially in a developing country such as Indonesia. The purpose of this study was to determine factors influencing customer satisfaction and loyalty in OFDS during the new normal of the COVID-19 pandemic in Indonesia by utilizing the extended theory of planned behavior (TPB) approach. A total of 253 respondents voluntarily participated and answered 65 questions. Structural equation modeling (SEM) indicated that hedonic motivation (HM) was found to have the highest effect on customer satisfaction, followed by price (P), information quality (IQ), and promotion (PRO). Interestingly, this study found out that usability factors, such as navigational design (ND) and perceived ease of use (PEOU) were not significant to customer satisfaction and loyalty in OFDS during the new normal of COVID-19. This study can be the theoretical foundation that could be very beneficial for OFDS investors, IT engineers, and even academicians. Finally, this study can be applied and extended to determine factors influencing customer satisfaction and loyalty in OFDS during the new normal of COVID-19 in other countries
