scholarly journals Methods of Detecting Insufficient Effort Responding: Comparisons and Practical Recommendations

2019 ◽  
Vol 80 (2) ◽  
pp. 312-345 ◽  
Author(s):  
Maxwell Hong ◽  
Jeffrey T. Steedle ◽  
Ying Cheng
Keyword(s):  
Psychometric Properties ◽  
Detection Methods ◽  
Future Research ◽  
Validity And Reliability ◽  
Multiple Sources ◽  
Research Directions ◽  
Different Types ◽  
Future Research Directions ◽  
Biased Responding ◽  
Practical Recommendations

Insufficient effort responding (IER) affects many forms of assessment in both educational and psychological contexts. Much research has examined different types of IER, IER’s impact on the psychometric properties of test scores, and preprocessing procedures used to detect IER. However, there is a gap in the literature in terms of practical advice for applied researchers and psychometricians when evaluating multiple sources of IER evidence, including the best strategy or combination of strategies when preprocessing data. In this study, we demonstrate how the use of different IER detection methods may affect psychometric properties such as predictive validity and reliability. Moreover, we evaluate how different data cleansing procedures can detect different types of IER. We provide evidence via simulation studies and applied analysis using the ACT’s Engage assessment as a motivating example. Based on the findings of the study, we provide recommendations and future research directions for those who suspect their data may contain responses reflecting careless, random, or biased responding.

Deepfake videos: synthesis and detection techniques –a survey

2021 ◽  
pp. 1-21
Author(s):  
Shahela Saif ◽  
Samabia Tehseen
Keyword(s):  
Social Systems ◽  
Generative Models ◽  
Detection Methods ◽  
Future Research ◽  
Fake News ◽  
Research Directions ◽  
Detection Techniques ◽  
Future Research Directions ◽  
Video Creation ◽  
The One

Deep learning has been used in computer vision to accomplish many tasks that were previously considered too complex or resource-intensive to be feasible. One remarkable application is the creation of deepfakes. Deepfake images change or manipulate a person’s face to give a different expression or identity by using generative models. Deepfakes applied to videos can change the facial expressions in a manner to associate a different speech with a person than the one originally given. Deepfake videos pose a serious threat to legal, political, and social systems as they can destroy the integrity of a person. Research solutions are being designed for the detection of such deepfake content to preserve privacy and combat fake news. This study details the existing deepfake video creation techniques and provides an overview of the deepfake datasets that are publicly available. More importantly, we provide an overview of the deepfake detection methods, along with a discussion on the issues, challenges, and future research directions. The study aims to present an all-inclusive overview of deepfakes by providing insights into the deepfake creation techniques and the latest detection methods, facilitating the development of a robust and effective deepfake detection solution.

Effects of Information Technology on Business Performance and the Use of Accounting Measures

2015 ◽  
pp. 285-294
Author(s):  
Jorge A. Romero
Keyword(s):  
Information Technology ◽  
Firm Performance ◽  
Business Performance ◽  
Future Research ◽  
Research Directions ◽  
It Investments ◽  
Positive Effects ◽  
Different Types ◽  
Future Research Directions ◽  
Area Of Study

The understanding of the link between Information Technology (IT) investments and firm performance is still not completely understood in spite of numerous studies. However, these studies are not united in how they examine the effects of IT on business performance. They differ in their criteria, methodologies, and samples. Therefore, while there are positive effects associated with IT on firm performance, it is still difficult to reach overarching conclusions and highlight that there is still a need for further research. Specifically, this chapter contributes to this area of study by discussing the different types of benefits that firms can get from IT investments, examining the use of accounting variables to quantify the effect of IT, and providing future research directions.

Recommender Systems Review of Types, Techniques, and Applications

2015 ◽  
pp. 7260-7270 ◽  
Author(s):  
George A. Sielis ◽  
Aimilia Tzanavari ◽  
George A. Papadopoulos
Keyword(s):  
Recommender Systems ◽  
Recommendation Systems ◽  
Software Tools ◽  
Future Research ◽  
Research Directions ◽  
Different Types ◽  
Future Research Directions

Recommender or recommendation systems are software tools that make useful suggestions to users, by taking into account their profile, preferences and/or actions during interaction with an application or website. They are usually personalized and can refer to items to buy, people to connect to or books/ articles to read. Recommender Systems (RS) aim at helping users with their interaction by bringing to surface the information that is relevant to them, their needs, or their tasks. This article's objective is to present a review of the different types of RS, the techniques and methods used for building such systems, the algorithms used to generate the recommendations and how these systems can be evaluated. Finally, a number of topics are discussed as envisioned future research directions.

The Same but Different

2019 ◽  
pp. 1-32
Author(s):  
Maria Northcote
Keyword(s):  
Higher Education ◽  
Online Learning ◽  
Online Courses ◽  
Future Research ◽  
Technological Innovations ◽  
Research Directions ◽  
Learning Programs ◽  
History Of ◽  
Future Research Directions ◽  
Practical Recommendations

The field of online learning, like many other technological innovations, has not burgeoned without controversy. Despite the debates about the role and value of online learning, it has continued to grow in many sectors, especially in higher education. Alongside the growth of online learning, discussions about its benefits and limitations have also flourished, and many studies have investigated the quality and integrity of online courses. This chapter offers an investigation of some of the history of online learning, concluding with a collection of practical recommendations and suggestions for future research directions to guide institutions embarking on online learning programs.

scholarly journals Deciding Where to Buy: Store Choice Behaviour of Indian Shoppers

2002 ◽  
Vol 27 (2) ◽  
pp. 13-28 ◽  
Author(s):  
Piyush Kumar Sinha ◽  
Arindam Banerjee ◽  
Dwarika Prasad Uniyal
Keyword(s):  
Marketing Strategies ◽  
Future Research ◽  
Store Choice ◽  
Research Directions ◽  
Logit Regression ◽  
Multinomial Logit Regression ◽  
Retail Business ◽  
Choice Pattern ◽  
Different Types ◽  
Future Research Directions

Store choice is a decision that a shopper is fairly involved in. It is important for a store to understand this behaviour for developing marketing strategies to attract and keep its clientele. It is found that shoppers choose the store based on many aspects that could be classified as primary and image based. It is also found that the importance of each of these aspects changes with the kind of store the shopper wants to visit. In the Indian context where the shopper does not have much variety in store format, the type of store is recognized by the kind of product the store deals in. The paper is an attempt to understand this behaviour of the shopper. The shoppers are explored for the primary reasons for choosing a store. Then, using a factor analysis, the several image dimensions are classified. Further, using multinomial logit regression, the store choice pattern is studied across different types of store. Implications for the managers in the retail business are drawn and future research directions have been highlighted.

scholarly journals The integrated function modeling framework and its relation to function structures

2017 ◽  
Vol 31 (4) ◽  
pp. 436-457 ◽  
Author(s):  
Kilian Gericke ◽  
Boris Eisenbart
Keyword(s):  
Future Research ◽  
Specific Situation ◽  
Modeling Framework ◽  
Research Directions ◽  
Industrial Practice ◽  
Modeling Approaches ◽  
Different Types ◽  
Future Research Directions ◽  
Function Models ◽  
Function Structures

AbstractResearch and industrial practice have produced a host of function models and modeling approaches over the last decades. Each of these is meant to support designers in their design endeavors. Industrial practice is excessively diversified in terms of contextual requirements, aims, and adopted processes; this automatically begs the question which of the existing models should be selected for application in a specific situation. This paper sets out to contribute to this discourse. It strives to benchmark the fairly novel integrated function modeling (IFM) framework against the well-established function structures modeling approach. The paper comparatively investigates the respective capabilities of the approaches, following the benchmarking protocol used earlier in relation to this Special Issue. Function structures are used as reference as they represent one of the most widespread function modeling approaches in research and practice. Both function structures and the IFM framework are exemplarily applied for modeling a glue gun. The gradual generation and refinement of the models is used to showcase their respective benefits and shortcomings. Eventually, the IFM framework is found to excel over function structures in terms of comprehensiveness and support for different types of function analyses. Finally, future research directions are proposed.

Marketing Educational Programs through Technology and the Right Philosophies

2011 ◽  
Vol 1 (1) ◽  
pp. 50-59 ◽  
Author(s):  
Victor X. Wang
Keyword(s):  
Web 2.0 ◽  
Educational Programs ◽  
Academic Departments ◽  
Real Case ◽  
Future Research ◽  
Web 2.0 Technologies ◽  
Research Directions ◽  
Different Types ◽  
Future Research Directions ◽  
The Right

This article uses a real case to illustrate that marketing educational programs through technology is affected by one’s philosophies positively or negatively, depending on the philosophies adopted. Seven philosophies are discussed in relationship to marketing educational programs via technology. Connections between the seven philosophies and different types of universities/colleges are drawn. Future research directions also revolve around marketing educational programs, Web 2.0 technologies and one’s philosophies. It is recommended that universities/colleges seriously consider hiring those administrators who have adopted the right philosophies as the wrong philosophies will work against the mission of certain academic departments, hence the whole university or college.

scholarly journals A Comprehensive Review of Water-Based Nanolubricants

Lubricants ◽  
2021 ◽  
Vol 9 (9) ◽  
pp. 89
Author(s):  
Afshana Morshed ◽  
Hui Wu ◽  
Zhengyi Jiang
Keyword(s):  
Friction And Wear ◽  
Green Manufacturing ◽  
Environmental Issues ◽  
Future Research ◽  
Testing Methods ◽  
Research Directions ◽  
Water Based ◽  
Different Types ◽  
Future Research Directions ◽  
Lubrication Mechanisms

Applying nanomaterials and nanotechnology in lubrication has become increasingly popular and important to further reduce the friction and wear in engineering applications. To achieve green manufacturing and its sustainable development, water-based nanolubricants are emerging as promising alternatives to the traditional oil-containing lubricants that inevitably pose environmental issues when burnt and discharged. This review presents an overview of recent advances in water-based nanolubricants, starting from the preparation of the lubricants using different types of nanoadditives, followed by the techniques to evaluate and enhance their dispersion stability, and the commonly used tribo-testing methods. The lubrication mechanisms and models are discussed with special attention given to the roles of the nanoadditives. Finally, the applications of water-based nanolubricants in metal rolling are summarised, and the outlook for future research directions is proposed.

Examination of Responses Involved in Contamination Aversion Based on Threat Type

2018 ◽  
Vol 37 (2) ◽  
pp. 83-106 ◽  
Author(s):  
Melissa Rouel ◽  
Richard J. Stevenson ◽  
Evelyn Smith
Keyword(s):  
Time Delay ◽  
Cognitive Load ◽  
Harm Avoidance ◽  
Future Research ◽  
Research Directions ◽  
Different Types ◽  
Future Research Directions ◽  
Harmful Substances

There is evidence that different types of contaminants produce different responses and have different motivations for avoidance. Contaminants directly associated with disease (direct contaminants) are motivated by disgust avoidance, whereas contaminants indirectly associated with disease (indirect contaminants) and contaminants associated with harmful substances (harm contaminants) are motivated by harm avoidance and threat estimations. This study aims to confirm this distinction between contaminant types and examine the role of cognitive load, awareness and time on processing these threats. One hundred and four participants completed three chain of contagion tasks with direct, indirect, and harm contaminants. Cognitive load, awareness of contamination and time were manipulated during the tasks. Consistent with previous findings, direct contaminants produced stronger disgust responses, while harm and indirect contaminants produced stronger threat estimations. Increasing cognitive load did not impact processing of any type of contaminant. There was evidence that a time delay reduced the spread of contagion for all contaminants. This highlights the importance of time in altering the perception of contamination threat. Implications and future research directions are discussed.

Misunderstanding embeddedness: a response to Ferraris’ rethinking multiple embeddedness

2014 ◽  
Vol 22 (2) ◽  
pp. 139-154 ◽  
Author(s):  
Matevž Rašković
Keyword(s):  
Design Methodology ◽  
Economic Sociology ◽  
Multinational Enterprise ◽  
Future Research ◽  
Global Integration ◽  
Research Directions ◽  
Content Type ◽  
Different Types ◽  
Future Research Directions ◽  
Country Specific

Purpose – The purpose of this paper is to address the misapplication of the embeddedness concept in Ferraris’s (2014) paper and show how it needs to be used as a cornerstone economic sociology concept within his proposed framework. This paper is a response to his paper in the Multinational Business Review “Rethinking the literature on ‘multiple embeddedness’ and subsidiary-specific advantages”. Design/methodology/approach – The paper outlines the origin of the embeddedness concept and its evolution within the economic sociology literature. It addresses different types of embeddedness and continues with a critical analysis of Ferraris’s (2014) proposed framework of four main types of multinational enterprise (MNE) relationships. It provides suggestions for its improvement and application, as well as discusses the appropriate applications of embeddedness concept by international business (IB) scholars in MNE research. Findings – The paper shows how the embeddedness concept is mostly used as a metaphor and as a simple umbrella label for different types of connections between MNEs, their subsidiaries and different types of environments. The analysis of Ferraris’s (2014) proposed framework shows how MNE embeddedness is incorrectly understood as emanating from the balancing of local responsiveness and global integration within MNEs, where subsidiaries develop subsidiary-specific advantages (SSAs) by recombining home – host country-specific advantages and parent – subsidiary firm-specific advantages (FSAs). Originality/value – The paper adds to the existing IB understanding of MNEs’ multiple embeddedness and subsidiaries’ dual embeddedness through a wider and more structured economic sociology perspective. It provides an appropriate economic sociology-grounded typology of different types of embeddedness. A discussion of possible future research directions stresses how the embeddedness – dissembeddedness capability is a key source of MNE competitive advantage, which moderates the actual recombination process of producing FSAs and SSAs.

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