empirical studies
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2022 ◽  
Vol 18 (2) ◽  
pp. 0-0

Artificial Intelligence tools and processes have hugely impacted the ecommerce industry and the satisfaction of online customers. With technology largely pervading all facets of our lives, people want meaningful experiences. Artificial intelligence has the ability to deliver positive experiences for customers that helps build brand trust and customer satisfaction. Whether you are using your smartphone, laptop or voice assistants such as Alexa or Siri, service on the internet is gaining new ground. This paper does a literature review of the various technological advances that optimize the customer experience to evoke e-satisfaction, i.e. satisfaction while shopping online. E-satisfaction as a construct will be reviewed and its impact on customer purchase intention. This review will provide businesses and other researchers a frame of reference to conduct empirical studies in the area of AI and technology enabled retail.


2022 ◽  
Vol 6 (1) ◽  
pp. 98-114
Author(s):  
Virginia R. Massaro

Institutions of higher education continue to emphasize the need to create and develop global citizen graduates who will face challenging global issues in the workforce. A systematic literature review of empirical studies on global citizenship in higher education was conducted to understand the various ways this term is being studied, measured, and operationalized. The process of inclusion and exclusion criteria identified 57 studies. A content analysis revealed global citizenship is being included into higher education through scales of measurement, studying abroad, faculty and student perceptions, coursework, and university programs. The results are discussed in relation to the current literature on global citizenship along with future avenues of research.


2022 ◽  
Vol 100 ◽  
pp. 103615
Author(s):  
Shirley A. Elprama ◽  
Bram Vanderborght ◽  
An Jacobs

2022 ◽  
Vol 24 (3) ◽  
pp. 1-25
Author(s):  
Nishtha Paul ◽  
Arpita Jadhav Bhatt ◽  
Sakeena Rizvi ◽  
Shubhangi

Frequency of malware attacks because Android apps are increasing day by day. Current studies have revealed startling facts about data harvesting incidents, where user’s personal data is at stake. To preserve privacy of users, a permission induced risk interface MalApp to identify privacy violations rising from granting permissions during app installation is proposed. It comprises of multi-fold process that performs static analysis based on app’s category. First, concept of reverse engineering is applied to extract app permissions to construct a Boolean-valued permission matrix. Second, ranking of permissions is done to identify the risky permissions across category. Third, machine learning and ensembling techniques have been incorporated to test the efficacy of the proposed approach on a data set of 404 benign and 409 malicious apps. The empirical studies have identified that our proposed algorithm gives a best case malware detection rate of 98.33%. The highlight of interface is that any app can be classified as benign or malicious even before running it using static analysis.


2022 ◽  
Vol 24 (3) ◽  
pp. 0-0

Frequency of malware attacks because Android apps are increasing day by day. Current studies have revealed startling facts about data harvesting incidents, where user’s personal data is at stake. To preserve privacy of users, a permission induced risk interface MalApp to identify privacy violations rising from granting permissions during app installation is proposed. It comprises of multi-fold process that performs static analysis based on app’s category. First, concept of reverse engineering is applied to extract app permissions to construct a Boolean-valued permission matrix. Second, ranking of permissions is done to identify the risky permissions across category. Third, machine learning and ensembling techniques have been incorporated to test the efficacy of the proposed approach on a data set of 404 benign and 409 malicious apps. The empirical studies have identified that our proposed algorithm gives a best case malware detection rate of 98.33%. The highlight of interface is that any app can be classified as benign or malicious even before running it using static analysis.


2022 ◽  
Author(s):  
Ruth Wodak ◽  
Markus Rheindorf

This new book in Critical Discourse Studies uses detailed and systematic analysis of the discursive construction of Austrian identities across a period of 20 years – from 1995 to 2015 – to trace the re-emergence of nationalism in the media, popular culture and politics, and the normalization of far-right nativist ideologies and attitudes. Contradictory and intertwined tendencies towards re-nationalization and trans-nationalization have always framed debates about European identities, but during the so-called ‘refugee crisis’ of 2015, the debates became polarized. During the COVID-19 pandemic, nation states first reacted by closing borders, while symbols of banal nationalism proliferated. The data, drawn from a variety of empirical studies, suggests changes in memory politics – the way past events are remembered – are due to a range of factors, including the growth of migrant societies; the influence of financial and climate crises; changing gender politics; and a new transnational European politics of the past. The authors assess the challenges to liberal democracies and fundamental human and constitutional rights, and analyze how the pandemic contributes to a new re-nationalization across Europe and beyond.


2022 ◽  
Vol 6 (1) ◽  
pp. 37-52
Author(s):  
Aaron Anil Chadee ◽  
Xsitaaz T. Chadee ◽  
Clyde Chadee ◽  
Festus Otuloge

The tilted S-shaped utility function proposed in Prospect Theory (PT) relied fundamentally on the geometrical notion that there is a discontinuity between gains and losses, and that individual preferences change relative to a reference point. This results in PT having three distinct parameters; concavity, convexity and the reference point represented as a disjoint between the concavity and convexity sections of the curve. The objective of this paper is to examine the geometrical violations of PT at the zero point of reference. This qualitative study adopted a theoretical review of PT and Markowitz’s triply inflected value function concept to unravel methodological assumptions which were not fully addressed by either PT or cumulative PT. Our findings suggest a need to account for continuity and to resolve this violation of PT at the reference point. In so doing, an alternative preference transition theory, was proposed as a solution that includes a phase change space to cojoin these three separate parameters into one continuous nonlinear model. This novel conceptual model adds new knowledge of risk and uncertainty in decision making. Through a better understanding of an individual’s reference point in decision making behaviour, we add to contemporary debate by complementing empirical studies and harmonizing research in this field. Doi: 10.28991/ESJ-2022-06-01-03 Full Text: PDF


2022 ◽  
Vol 13 (1) ◽  
pp. 285-290
Author(s):  
Zulai Jarmai Baba-Girei ◽  
Binta Fatima Yahaya ◽  
Ruth Rakiya Martins

Smart energy conservation research is gaining traction in a variety of industries throughout the world. The current research is projected to cut energy consumption in the construction sector, which has already reached 49% globally and is expected to rise by 2% annually, costing millions of dollars per month. Balancing energy savings with thermal satisfaction is a current difficulty, as most researchers have concentrated on attaining energy savings without reaching the thermal contentment of the occupant, which could pose a health risk to both young and old occupants. To address the problem, we conducted empirical studies with 193 participants in the Northern part of Nigeria, where they were exposed to an indoor temperature of 22°C to determine their thermal environment, choice and comfort votes, viewed and favored control, and overall thermal satisfaction, which will help calculate and define the unused thermal satisfaction thermostat and later.


2022 ◽  
Author(s):  
Yuheng Huang ◽  
Justin Lack ◽  
Grant Hoppel ◽  
John E Pool

The relationships between adaptive evolution, phenotypic plasticity, and canalization remain incompletely understood. Theoretical and empirical studies have made conflicting arguments on whether adaptive evolution may enhance or oppose the plastic response. Gene regulatory traits offer excellent potential to study the relationship between plasticity and adaptation, and they can now be studied at the transcriptomic level. Here we take advantage of three closely-related pairs of natural populations of Drosophila melanogaster from contrasting thermal environments that reflect three separate instances of cold tolerance evolution. We measure the transcriptome-wide plasticity in gene expression levels and alternative splicing (intron usage) between warm and cold laboratory environments. We find that suspected adaptive changes in both gene expression and alternative splicing tend to neutralize the ancestral plastic response. Further, we investigate the hypothesis that adaptive evolution can lead to decanalization of selected gene regulatory traits. We find strong evidence that suspected adaptive gene expression (but not splicing) changes in cold-adapted populations are more vulnerable to the genetic perturbation of inbreeding than putatively neutral changes. We find some evidence that these patterns may reflect a loss of genetic canalization accompanying adaptation, although other processes including hitchhiking recessive deleterious variants may contribute as well. Our findings augment our understanding of genetic and environmental effects on gene regulation in the context of adaptive evolution.


Author(s):  
Van M. Ta Park ◽  
Marcelle M. Dougan ◽  
Oanh L. Meyer ◽  
Bora Nam ◽  
Marian Tzuang ◽  
...  

Reports of escalated discrimination among Asian Americans and Pacific Islanders (AAPIs) due to COVID-19 are alarming, making this a public health priority. However, there are limited empirical studies on the scope and impact of COVID-19-related discrimination among AAPIs. Using the COVID-19 Effects on the Mental and Physical Health of AAPI Survey Study (COMPASS) data (N = 4971; survey period: October 2020–February 2021), which is a U.S.-wide multi-lingual survey, we examined the prevalence of, and factors associated with discrimination experiences attributable to being an AAPI during the COVID-19 pandemic. Overall, 60.7% reported experiencing discrimination; the group prevalence ranged from 80.0% (Hmong) to 40.5% (Native Hawaiians and Pacific Islanders). Multivariable logistic regression models revealed that COVID-19-related factors were associated with many discrimination experiences: having a shelter-in-place order of ≥1 month, living in areas with perceived similar/higher COVID-19 severity, and negative impact in family income/employment due to COVID-19. Additionally, being Asian American (versus Native Hawaiians and Pacific Islanders), females, non-heterosexuals, younger, more severe effect on family income, living in the non-West, and poorer health were significantly correlated with discrimination experiences. Findings may assist in formulating anti-AAPI-discrimination policies and programs at the local, state, and federal levels. Culturally appropriate programs and policies to combat this are urgently needed.


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