Journal articles on the topic 'User attribution'
To see the other types of publications on this topic, follow the link: User attribution.
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the top 50 journal articles for your research on the topic 'User attribution.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.
1
Romero Leguina, Jesús, Ángel Cuevas Rumín, and Rubén Cuevas Rumín. "Digital Marketing Attribution: Understanding the User Path." Electronics 9, no. 11 (November 2, 2020): 1822. http://dx.doi.org/10.3390/electronics9111822.
Full textAbstract:
Digital marketing is a profitable business generating annual revenue over USD 200B and an inter-annual growth over 20%. The definition of efficient marketing investment strategies across different types of channels and campaigns is a key task in digital marketing. Attribution models are an instrument used to assess the return of investment of different channels and campaigns so that they can assist in the decision-making process. A new generation of more powerful data-driven attribution models has irrupted in the market in the last years. Unfortunately, its adoption is slower than expected. One of the main reasons is that the industry lacks a proper understanding of these models and how to configure them. To solve this issue, in this paper, we present an empirical study to better understand the key properties of user-paths and their impact on attribution models. Our analysis is based on a large-scale dataset including more than 95M user-paths from real advertising campaigns of an international hoteling group. The main contribution of the paper is a set of recommendation to build accurate, interpretable and computationally efficient attribution models such as: (i) the use of linear regression, an interpretable machine learning algorithm, to build accurate attribution models; (ii) user-paths including around 12 events are enough to produce accurate models; (iii) the recency of events considered in the user-paths is important for the accuracy of the model.
2
Bogumil, David Daniel. "SUBSTANCE ABUSE AND ATTRIBUTION STATES: THE COVALENT SECURITY ATTRIBUTION MODEL." Social Behavior and Personality: an international journal 30, no. 2 (January 1, 2002): 127–40. http://dx.doi.org/10.2224/sbp.2002.30.2.127.
Full textAbstract:
The attribution of the causality regarding the quality of life in a community and the security within a community differs between user and non-user groups of illegal drugs. An attribution theoretical model based on intergroup relations presents a new conceptualization of dyadic relations as the Covalent Security Attribution model. The Covalent Security Attribution model of user and non-user intergroup dynamics provides an exegesis of group cognitive consistency and the attribution process. This inquiry provides a heuristic examination of the Covalent Security Attribution model of adolescent substance abuse.
3
Niels, Adelka, and Monique Janneck. "The Influence of Computer-Related Attributions on System Evaluation in Usability Testing." i-com 16, no. 1 (April 1, 2017): 15–22. http://dx.doi.org/10.1515/icom-2017-0001.
Full textAbstract:
AbstractComputer-related attributions are cognitions related to the causes and effects of user interactions – or, in other words, subjective explanations of users of why specific system reactions occur. Prior research has revealed different attribution styles, which influence how users interact with computers and how they perceive situations of failure and success. In this paper, we report on a study investigating how computer-related attributions influence users’ perceptions and evaluations of interactive systems. To that end, we conducted usability tests with $\mathrm{N}=74$ users and measured both system evaluations and attributions. Results show correlations between attributions and usability as well as user experience measures, indicating that users’ attributions do influence their evaluations of the test systems. Furthermore, gender differences were revealed. Practical and research implications are described.
4
PEI, XUEKE, ZHENGWEI HUANG, YANNI YANG, and OTHMAN BESTOON. "Research on user donation and information sharing in textile crowdfunding." Industria Textila 73, no. 06 (December 20, 2022): 671–79. http://dx.doi.org/10.35530/it.073.06.202195.
Full textAbstract:
Exploring the mechanism of user donation and information sharing behaviour in textile crowdfunding under the social network environment provides the theoretical basis for researching the behaviour of users and suggestions for the operation and management of textile crowdfunding platform. Based on the grounded theory, it appeared that there were only a few studies examining the empirical relation between the two constructs, particularly in textile crowdfunding. The study investigated 35 users with semi-structured interviews. Nvivo11 qualitative analysis software was used to encode and analyse the interview data. The attribution theory was used to construct the model of influencing factors of textile crowdfunding user donation and information-sharing behaviour and the theoretical saturation test of the coded result. This study divided the influencing factors of textile crowdfunding user donation and information-sharing behaviour into trait attribution and situation attribution and extracted eight main categories that affect user participation behaviour. Emotional factors, interpersonal relationships, and perceived risks are the key factors affecting participants' donation and information sharing. In addition, the study found that compared with the behaviour of donating for textile crowdfunding projects, the willingness of user information sharing behaviour was low.
5
Taglienti, Claudio, and James Cannady. "The user attribution problem and the challenge of persistent surveillance of user activity in complex networks." Journal of Computer Security 24, no. 2 (April 19, 2016): 235–88. http://dx.doi.org/10.3233/jcs-160546.
Full text
6
Ikuesan, Adeyemi Richard, Shukor Abd Razak, Mazleena Salleh, and Hein S. Venter. "Leveraging Human Thinking Style for User Attribution in Digital Forensic Process." International Journal on Advanced Science, Engineering and Information Technology 7, no. 1 (February 2, 2017): 198. http://dx.doi.org/10.18517/ijaseit.7.1.1383.
Full text
7
Hyman, Geoff, and Andrew Daly. "The attribution of transport user benefits by source using discrete choice models." Research in Transportation Economics 47 (November 2014): 103–11. http://dx.doi.org/10.1016/j.retrec.2014.09.023.
Full text
8
Ikuesan, Adeyemi R., and Hein S. Venter. "Digital behavioral-fingerprint for user attribution in digital forensics: Are we there yet?" Digital Investigation 30 (September 2019): 73–89. http://dx.doi.org/10.1016/j.diin.2019.07.003.
Full text
9
Irma Sukmawati, Ade, and Irma Handayani. "Function Consuming sebagai Tingkat Kecakapan Literasi Media Digital Masyarakat Yogyakarta." Jurnal Komunikasi 16, no. 2 (April 25, 2022): 187–204. http://dx.doi.org/10.20885/komunikasi.vol16.iss2.art6.
Full textAbstract:
Digital competence is one of the skills for users in using digital media. Research on mapping the digital competence category of the people of Yogyakarta was carried out to know the media digital positioning competence of digital media users. The position of digital media user skills is categorized by the k-NN (k Nearest Neighbor) technique data mining method. The objective of this research using the k-NN technique data mining method was carried out by compiling categories that refer to attributions where the attribution refers to the ten competencies of Japelidi's digital media users. The digital media user skills category has four quadrants: Function Consuming, Function Prosuming, Critical Consuming, and Critical Prosuming. This research was conducted in Yogyakarta from June-July 2020 because, during this period, there was a surge in digital media users due to the pandemic. The findings in this research provide information that the competence of using digital media for Yogyakarta residents in the period of June-July 2020 is in the Function Consuming section, and it is in the first quadrant
10
Sebba, Mark. "Iconisation, attribution and branding in orthography." Written Language and Literacy 18, no. 2 (August 31, 2015): 208–27. http://dx.doi.org/10.1075/wll.18.2.02seb.
Full textAbstract:
This paper discusses three processes relating to the social meaning of scripts and orthographies, all of which are potentially mediated by the role of script-as-image. One of these processes, iconisation, was introduced to the field by Irvine and Gal (2000) and is widely known. Attribution is a process which precedes iconisation, whereby a group of people associate a linguistic feature or language-related practice with a group of people who (supposedly) use that feature or engage in that practice. Orthographic branding involves a specific visual/graphical element of written language such as an alphabetic character. Through ‘branding,’ this element becomes an emblem of a group of people who use the element in question in their writing practices. Branding may involve iconisation, but the processes are distinct. This paper describes and distinguishes the three processes and provides examples from different languages and user communities.
11
Tsimperidis, Ioannis, Cagatay Yucel, and Vasilios Katos. "Age and Gender as Cyber Attribution Features in Keystroke Dynamic-Based User Classification Processes." Electronics 10, no. 7 (March 31, 2021): 835. http://dx.doi.org/10.3390/electronics10070835.
Full textAbstract:
Keystroke dynamics are used to authenticate users, to reveal some of their inherent or acquired characteristics and to assess their mental and physical states. The most common features utilized are the time intervals that the keys remain pressed and the time intervals that are required to use two consecutive keys. This paper examines which of these features are the most important and how utilization of these features can lead to better classification results. To achieve this, an existing dataset consisting of 387 logfiles is used, five classifiers are exploited and users are classified by gender and age. The results, while demonstrating the application of these two characteristics jointly on classifiers with high accuracy, answer the question of which keystroke dynamics features are more appropriate for classification with common classifiers.
12
Win, Myat Noe, Sri Devi Ra Ravana, and Liyana Shuib. "SENTIMENT ATTRIBUTION ANALYSIS WITH HIERARCHICAL CLASSIFICATION AND AUTOMATIC ASPECT CATEGORIZATION ON ONLINE USER REVIEWS." Malaysian Journal of Computer Science 35, no. 2 (April 29, 2022): 89–110. http://dx.doi.org/10.22452/mjcs.vol35no2.1.
Full textAbstract:
Due to COVID-19 pandemic, most physical business transactions were pushed online. Online reviews became an excellent source for sentiment analysis to determine a customer's sentiment about a business. This insight is valuable asset for businesses, especially for tourism sector, to be harnessed for business intelligence and craft new marketing strategies. However, traditional sentiment analysis with flat classification and manual aspect categorization technique imposes challenges with non-opinionated reviews and outdated pre-defined aspect categories which limits businesses to filter relevant opinionated reviews and learn new aspects from reviews itself for aspect-based sentiment analysis. Therefore, this paper proposes sentiment attribution analysis with hierarchical classification and automatic aspect categorization to improve the social listening for diligent marketing and recommend potential business optimization to revive the business from surviving to thriving after this pandemic. Hierarchical classification is proposed using hybrid approach. While automatic aspect categorization is constructed with semantic similarity clustering and applied enhanced topic modelling on opinionated reviews. Experimental results on two real-world datasets from two different industries, Airline and Hotel, shows that the sentiment analysis with hierarchical classification outperforms the classification accuracy with a good F1-score compared to baseline papers. Automatic aspect categorization was found to be able to unhide the sentiment of the aspects which was not recognized in manual aspect categorization. Although it is accepted that the effectiveness of aspect-based sentiment analysis on flat classification and manual aspect categorization, none have assessed the effectiveness while using hierarchical classification with a hybrid approach and automatic aspect categorization.
13
Raj, K. Viswak, M. Mukesh, and J. Kalaivani. "Anomaly Detection and Attribution in Network." International Journal of Engineering and Advanced Technology 9, no. 4 (April 30, 2020): 686–87. http://dx.doi.org/10.35940/ijeat.c6335.049420.
Full textAbstract:
In this article, we address the problem of not only id entifying phenomena, but also attributing the phenomenon to the movement that induces it. This causes to a combinatorial optimisation problem, which is prohibitively expensive. Instead we design two anomaly detection algorithms that are small in complexity. The first is based on the system for cross-entropy (CE), which identifies flow anomalies and labels flow anomalies. The second algorithm detects anomalies through GLRT on aggregated flow transformation a compact low-dimensional representation of raw traffic flows. The two algorithms complement each other and allow the network operator to use the algorithm for flow aggregation first so that device irregularities can be identified easily. After discovery of an exception, the user Can analyse further that individual flows are anomalous using CE-based algorithm. We perform extensive performance tests and trials on synthetic and semi-synthetic data with our algorithms, as well as real Internet traffic data gathered from the MAWI database, and finally make recommendations as to their usability.
14
Pradina, Azziza Ratri, Radita Gora Tayibnafis, and Vinta Sevilla. "SIGNIFIKANSI INFORMASI ISU KEBOCORAN DATA PRIVASI TOKOPEDIA TERHADAP PERILAKU FANDOM." Jurnal Pustaka Komunikasi 5, no. 2 (September 30, 2022): 331–43. http://dx.doi.org/10.32509/pustakom.v5i2.2186.
Full textAbstract:
This research is motivated by the case of user privacy data leaks experienced by Tokopedia in 2020. This study aims to see the effect of information about the leakage of user data experienced by Tokopedia on the behavior of the audience studied using attribution theory. The method used in this research is quantitative explanatory to explain the causal relationship between variables. Information data leakage is measured by its quality value and consists of four characteristics, namely accurate, timeless, relevant, and complete, while audience behavior is measured by attribution theory based on internal factors and external factors, namely paying attention to the principle of consensus, the principle of consistency and the principle of distinctiveness. The results of this study explain that Ha is accepted and H0 is rejected so that the quality of information about Tokopedia user data leakage affects people's behavior. Information about the leakage of Tokopedia user data received by the public is of good quality, and internal factors influence the audience's behavior. The conclusion of this study explains that there is an influence between the leakage of Tokopedia user data and the behavior of the audience with a value of 0.341 at a low level of relationship.
15
Godbert, Nicolas, Alessandra Crispini, Mauro Ghedini, Manuela Carini, Francesco Chiaravalloti, and Andrea Ferrise. "LCDiXRay: a user-friendly program for powder diffraction indexing of columnar liquid crystals." Journal of Applied Crystallography 47, no. 2 (March 19, 2014): 668–79. http://dx.doi.org/10.1107/s1600576714003240.
Full textAbstract:
The formulation of a standard computerized procedure for the indexing of powder X-ray diffraction (PXRD) patterns of columnar liquid crystals, with the determination of all structural information extracted from a properly indexed PXRD spectrum and the attribution of the columnar mesophase symmetry, is presented. In particular, the proposed program notably accelerates the identification of columnar mesophases together with thein situdetermination of their structural parameters such as mesophase type, space group, cell parameters, cross-section area, intermolecular stacking distance between consecutive discoids and, in the case of ordered mesophases, the estimation of the number of molecules constituting each discoid.
16
Κόκκινος, Κωνσταντίνος, Ναυσικά Αντωνιάδου, and Ιωάννα Βουλγαρίδου. "Ο Μεσολαβητικός Ρόλος της Εχθρικής Απόδοσης Αιτιότητας στη Σχέση της Προσωπικότητας με τον Κυβερνο-Εκφοβισμό." Psychology: the Journal of the Hellenic Psychological Society 24, no. 1 (October 15, 2020): 93. http://dx.doi.org/10.12681/psy_hps.22388.
Full textAbstract:
The aim of this study was to investigate the association of the Big Five personality traits, Hostile Attribution Bias, and cyber-bullying among 347 Greek students attending the last grade of primary school and Junior High School. In order to explore whether the effect of personality traits on cyber-bullying is better explained through Hostile Attribution Bias, a mediation analysis was run. Results showed that Hostile Attribution Bias mediated the links between high Neuroticism, and low Extraversion on the one hand and cyber-bullying on the other. Overall, findings suggest that individuals low in Emotional Stability and less sociable are more likely to manifest cyber-bullying due to their tendency to attribute hostile intent, which may be exacerbated during computer mediated communication, which frequently provides limited social cues to the user. Findings can contribute towards the prevention and intervention of cyber-bullying through programs which help students interpret ambiguous social interactions.
17
Prabhakar, Tarunima, Anushree Gupta, Kruttika Nadig, and Denny George. "Check Mate: Prioritizing User Generated Multi-Media Content for Fact-Checking." Proceedings of the International AAAI Conference on Web and Social Media 15 (May 22, 2021): 1025–33. http://dx.doi.org/10.1609/icwsm.v15i1.18126.
Full textAbstract:
Volume of content and misinformation on social media is rapidly increasing. There is a need for systems that can support fact checkers by prioritizing content that needs to be fact checked. Prior research on prioritizing content for fact-checking has focused on news media articles, predominantly in English language. Increasingly, misinformation is found in user-generated content. In this paper we present a novel dataset that can be used to prioritize check-worthy posts from multi-media content in Hindi. It is unique in its 1) focus on user generated content, 2) language and 3) accommodation of multi-modality in social media posts. In addition, we also provide metadata for each post such as number of shares and likes of the post on ShareChat, a popular Indian social media platform, that allows for correlative analysis around virality and misinformation. The data is accessible on Zenodo (https://zenodo.org/record/4032629) under Creative Commons Attribution License (CC BY 4.0).
18
Bloomfield, M. A. P., E. Mouchlianitis, C. J. A. Morgan, T. P. Freeman, H. V. Curran, J. P. Roiser, and O. D. Howes. "Salience attribution and its relationship to cannabis-induced psychotic symptoms." Psychological Medicine 46, no. 16 (September 15, 2016): 3383–95. http://dx.doi.org/10.1017/s0033291716002051.
Full textAbstract:
BackgroundCannabis is a widely used drug associated with increased risk for psychosis. The dopamine hypothesis of psychosis postulates that altered salience processing leads to psychosis. We therefore tested the hypothesis that cannabis users exhibit aberrant salience and explored the relationship between aberrant salience and dopamine synthesis capacity.MethodWe tested 17 cannabis users and 17 age- and sex-matched non-user controls using the Salience Attribution Test, a probabilistic reward-learning task. Within users, cannabis-induced psychotic symptoms were measured with the Psychotomimetic States Inventory. Dopamine synthesis capacity, indexed as the influx rate constant Kicer, was measured in 10 users and six controls with 3,4-dihydroxy-6-[18F]fluoro-l-phenylalanine positron emission tomography.ResultsThere was no significant difference in aberrant salience between the groups [F1,32 = 1.12, p = 0.30 (implicit); F1,32 = 1.09, p = 0.30 (explicit)]. Within users there was a significant positive relationship between cannabis-induced psychotic symptom severity and explicit aberrant salience scores (r = 0.61, p = 0.04) and there was a significant association between cannabis dependency/abuse status and high implicit aberrant salience scores (F1,15 = 5.8, p = 0.03). Within controls, implicit aberrant salience was inversely correlated with whole striatal dopamine synthesis capacity (r = −0.91, p = 0.01), whereas this relationship was non-significant within users (difference between correlations: Z = −2.05, p = 0.04).ConclusionsAberrant salience is positively associated with cannabis-induced psychotic symptom severity, but is not seen in cannabis users overall. This is consistent with the hypothesis that the link between cannabis use and psychosis involves alterations in salience processing. Longitudinal studies are needed to determine whether these cognitive abnormalities are pre-existing or caused by long-term cannabis use.
19
Okolo, Cynthia M. "The Effects of Computer-Based Attribution Retraining on the Attributions, Persistence, and Mathematics Computation of Students with Learning Disabilities." Journal of Learning Disabilities 25, no. 5 (May 1992): 327–34. http://dx.doi.org/10.1177/002221949202500507.
Full textAbstract:
The purpose of the present study was to examine the impact of attribution retraining, embedded within a mathematics computer-assisted instructional (CAI) program, on students' attributions, persistence, and mathematics computation. Twenty-nine school-identified students with learning disabilities from five urban schools participated in the study. The sample's mean age was 13.3 years. After blocking on initial attributional patterns, students were randomly assigned to a mathematics CAI program that provided either attribution retraining or neutral feedback. Students used their assigned program for eight 30-minute sessions. Results did not support the contention that attribution retraining would have a significant impact on students' attributions. However, students who participated in the attribution retraining condition completed significantly more levels of the program than their counterparts who received neutral feedback. Attribution retraining students also obtained significantly higher scores on a test of problems practiced during the CAI program. These results suggest that attribution retraining may be a desirable addition to the type of feedback typically provided by CAI programs. However, they also highlight the need for further research that examines the conditions under which specific attributions are most advantageous.
20
Naab, Teresa K., Anja Kalch, and Tino GK Meitz. "Flagging uncivil user comments: Effects of intervention information, type of victim, and response comments on bystander behavior." New Media & Society 20, no. 2 (September 28, 2016): 777–95. http://dx.doi.org/10.1177/1461444816670923.
Full textAbstract:
The study investigates the flagging behavior as specific type of bystander intervention against uncivil user comments in comments sections on news sites. Two experimental studies examine the effects of intervention information, characteristics of response comments, and the type of victim attacked in a comment on flagging behavior, that is on reporting a comment to professional moderators. Our results indicate that intervention information is a promising strategy to motivate flagging. Flagging is based on responsibility attribution to professional moderators but not on self-responsibility perception. Type of victim and characteristics of other users’ posted responses to preceding comments (public disagreement and politeness) shape deviance perceptions of the situation and influence flagging behavior.
21
Schneider, Matthew J., and Shawn Mankad. "A Two-Stage Authorship Attribution Method Using Text and Structured Data for De-Anonymizing User-Generated Content." Customer Needs and Solutions 8, no. 3 (August 6, 2021): 66–83. http://dx.doi.org/10.1007/s40547-021-00116-x.
Full text
22
Phoenix, Gregory M., Michael J. Kalsher, and Matthew V. Champagne. "Allocation of Responsibility for Injuries Sustained from the Use of Technologically-Mediated Consumer Products." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 41, no. 1 (October 1997): 400–404. http://dx.doi.org/10.1177/107118139704100188.
Full textAbstract:
Kelly's (1972) theory of causal attribution was used as a basis for assessing how participants allocated responsibility for injuries sustained in four fictitious product-use scenarios. Each scenario described an injury (mild or severe) that occurred during the use of a consumer product that was mediated by a computerized device. Different versions of each product-use scenario were created to account for manipulations of consensus, consistency, distinctiveness, and injury type. Results showed that participants' overall scores of attribution allocations were consistent with Kelly's attributional model and McArthur's (1972) findings. In situations of low consensus, high consistency, and low distinctiveness, participants made internal causal attributions; and for situations of high consensus, consistency, and distinctiveness, participants made external attributions. The manipulation of accident severity (mild or severe) had no significant effect on attributional tendencies. The availability of a product-use warning was associated with a greater tendency to attribute responsibility for the injury to the consumer. Implications of these results are discussed and suggestions for further research are offered.
23
Butler, Tim, Aurelia Lupascu, Jane Coates, and Shuai Zhu. "TOAST 1.0: Tropospheric Ozone Attribution of Sources with Tagging for CESM 1.2.2." Geoscientific Model Development 11, no. 7 (July 13, 2018): 2825–40. http://dx.doi.org/10.5194/gmd-11-2825-2018.
Full textAbstract:
Abstract. A system for source attribution of tropospheric ozone produced from both NOx and volatile organic compound (VOC) precursors is described, along with its implementation in the Community Earth System Model (CESM) version 1.2.2 using CAM4. The user can specify an arbitrary number of tag identities for each NOx or VOC species in the model, and the tagging system rewrites the model chemical mechanism and source code to incorporate tagged tracers and reactions representing these tagged species, as well as ozone produced in the stratosphere. If the user supplies emission files for the corresponding tagged tracers, the model will produce tagged ozone tracers which represent the contribution of each of the tag identities to the modelled total tropospheric ozone. Our tagged tracers preserve Ox. The size of the tagged chemical mechanism scales linearly with the number of specified tag identities. Separate simulations are required for NOx and VOC tagging, which avoids the sharing of tag identities between NOx and VOC species. Results are presented and evaluated for both NOx and VOC source attribution. We show that northern hemispheric surface ozone is dominated year-round by anthropogenic emissions of NOx, but that the mix of corresponding VOC precursors changes over the course of the year; anthropogenic VOC emissions contribute significantly to surface ozone in winter–spring, while biogenic VOCs are more important in summer. The system described here can provide important diagnostic information about modelled ozone production, and could be used to construct source–receptor relationships for tropospheric ozone.
24
Selviaridis, Kostas. "Who’s to blame or praise? Performance attribution challenges in outsourced service provision in supply chains." Supply Chain Management: An International Journal 21, no. 5 (August 8, 2016): 513–33. http://dx.doi.org/10.1108/scm-11-2015-0439.
Full textAbstract:
Purpose The aim of this paper is to understand the antecedents and effects of performance attribution challenges arising in the provision of business-to-business (B2B) services in supply chains. Design/methodology/approach The study draws on three in-depth case studies of logistics service providers (LSPs) offering supply chain solutions to their clients in Sweden. The analysis of performance attribution challenges and their antecedents and effects is based on 38 semi-structured interviews and review of 43 documents, including contracts and performance monitoring records. Findings Three key antecedents of performance attribution challenges are stressed. Two of these, the inseparability and contestability of service inputs, are closely related to the notion of service co-production. The third antecedent is the limited provider capability in performance data collection and analysis. Performance attribution challenges may result in provider aversion to performance-related risk and have a harmful effect on client relationships, for example, in terms of provider perceptions of opportunism and unfair allocation of gains. These effects can be mitigated through contracting, interventions in performance measurement system design and deployment of relational mechanisms. Research limitations/implications The paper extends the service management literature that emphasises on service co-production by suggesting that inputs of the client firm and its supply chain partners may not only vary in quality but also can be inseparable from provider inputs and highly contestable. It also empirically demonstrates how performance attribution challenges and their antecedents and effects manifest themselves in B2B service provision, as opposed to supply chain settings where the main user of logistics services is the consumer. Practical implications LSP managers should contract for performance based on high-quality and incontestable external inputs they rely upon. Contractual specifications (performance indicators and related incentives) should explicate and consider the inputs required by clients and their supply chain partners to minimise their contestability. Originality/value The study proposes an empirically based framework of the antecedents and effects of performance attribution challenges, an issue that has received scant attention in logistics outsourcing research and the business services literature more broadly.
25
Wright, Arnold M., and Sally Wright. "Modification of the Audit Report: Mitigating Investor Attribution by Disclosing the Auditor's Judgment Process." Behavioral Research in Accounting 26, no. 2 (November 1, 2013): 35–50. http://dx.doi.org/10.2308/bria-50662.
Full textAbstract:
ABSTRACT: This study examines the effectiveness of disclosure in the auditor's report of the auditor's judgment process as a means to mitigate unfavorable attribution to the auditor after the occurrence of an adverse event, i.e., the tendency to ascribe the cause to a factor(s) that can be readily associated with the event (“second guessing”). Modification of the audit report in this manner is consistent with recent calls to make the audit report more responsive to user expectations and with the recommendations of the Advisory Committee on Improving Financial Reporting for the establishment of a professional judgment framework. We provide 72 nonprofessional investors with a case where there are both positive and negative indicators about the going-concern status of a client. The auditor issues a standard audit report, and nine months later the client files for bankruptcy. Participants are randomly assigned to two groups: judgment process information or no judgment process information. The results indicate that judgment process information significantly mitigates auditor attribution after the bankruptcy for four of five auditor performance measures. In all, the findings suggest disclosure of the auditor's judgment process is a promising tool to mitigate auditor attribution.
26
Coggans, Niall, and John B. Davies. "Explanations for Heroin Use." Journal of Drug Issues 18, no. 3 (July 1988): 457–65. http://dx.doi.org/10.1177/002204268801800310.
Full textAbstract:
This paper examines, from the perspective of “attribution theory,” the role of explanations (for drug use) in giving up drug use. In particular, the “functional utility” of explanations (attributions) in the service of self-esteem needs is discussed. It appears that, in a group of heroin users, explanations are consistently related to level or pattern of heroin use in a manner with considerable utility for self-esteem. The attributional strategies employed, and the implications of particular attributions (explanations) for drug use are also discussed.
27
Sashittal, Hemant, and Avan Jassawalla. "Brand entification as a post-anthropomorphic attribution among Twitter-using Millennials." Marketing Intelligence & Planning 37, no. 7 (October 7, 2019): 741–53. http://dx.doi.org/10.1108/mip-10-2018-0446.
Full textAbstract:
Purpose The purpose of this paper is to report a three-study effort that aimed to explicate the brand entification construct, a post-anthropomorphic attribution that results from user-brand interaction on Twitter. Entified brands are not merely humanlike, they are viewed as human celebrities with an elevated social status. Design/methodology/approach A testable conceptual framework, hypotheses and measurement scales for explicating the brand entification construct are derived from focus groups. The framework is tested using two separate surveys; the first surveyed college going, Millennial users of Twitter, the second surveyed a nationwide sample of Twitter using Millennials. Findings The fear of being ignored (FOBI) emerges as the key antecedent of brand entification. Elevation in healthy narcissism emerges as its key consequence. Twitter users experiencing elevated narcissism are found to defend entified brands when they receive negative tweets from other users. Research limitations/implications All constructs and measurement scales reported in the data are new, the evidence of linkages between the antecedents and consequences of brand entification are similarly unprecedented; both reflect the theoretical contributions of the study. Further testing of scales, and replication of results using multiple samples of Twitter users are essential before formalized theory and widely generalizable findings emerge. Practical implications Shaping Twitter-users’ sense of healthy narcissism emerges as the key challenge for managers aiming to build brands via Twitter communication. Stimulating users’ FOBI emerges as a key entry-way in this process. Originality/value The paper reports the first empirical investigation of the brand entification construct in the context of Twitter-using Millennials.
28
Randhawa, Gurjit S., Kathleen A. Hill, and Lila Kari. "MLDSP-GUI: an alignment-free standalone tool with an interactive graphical user interface for DNA sequence comparison and analysis." Bioinformatics 36, no. 7 (December 13, 2019): 2258–59. http://dx.doi.org/10.1093/bioinformatics/btz918.
Full textAbstract:
Abstract Summary Machine Learning with Digital Signal Processing and Graphical User Interface (MLDSP-GUI) is an open-source, alignment-free, ultrafast, computationally lightweight, and standalone software tool with an interactive GUI for comparison and analysis of DNA sequences. MLDSP-GUI is a general-purpose tool that can be used for a variety of applications such as taxonomic classification, disease classification, virus subtype classification, evolutionary analyses, among others. Availability and implementation MLDSP-GUI is open-source, cross-platform compatible, and is available under the terms of the Creative Commons Attribution 4.0 International license (http://creativecommons.org/licenses/by/4.0/). The executable and dataset files are available at https://sourceforge.net/projects/mldsp-gui/. Supplementary information Supplementary data are available at Bioinformatics online.
29
Sserwanga, Arthur, and Gerrit Rooks. "Cognitive consequences of business shut down. The case of Ugandan repeat entrepreneurs." International Journal of Entrepreneurial Behavior & Research 20, no. 3 (April 29, 2014): 263–77. http://dx.doi.org/10.1108/ijebr-10-2012-0120.
Full textAbstract:
Purpose – The purpose of this paper is to focus on the cognitive and motivational consequences of a business failure, and their relation with subsequent start up success. The paper hypothesizes that if previous business failure was attributed to an internal and stable cause, subsequent business would be less successful compared to where an entrepreneur attributed business failure to an internal and unstable cause. Design/methodology/approach – The authors reviewed the literature on attribution theory in an achievement context and derived a hypothesis about the relation between causal thinking and subsequent business success. A survey amongst entrepreneurs in Uganda was carried out to yield insights on how attributions to past performance influence subsequent business performance. Findings – Entrepreneurs who attributed previous business failure to an internal, stable cause were found to be less successful in subsequent business start up. When repeat entrepreneurs attribute previous shut down to a lack of ability, they are less successful in a subsequent business start up. However, attributing the failure to a lack of effort, does not affect subsequent business success. Originality/value – The study reaffirms the importance of attributional thinking in entrepreneurship and provides empirical evidence on the relationship between the way entrepreneurs think about their previous performance and subsequent performance. Attributional thinking influences subsequent business actions and outcomes, which offers important practical applications. For instance training to change attributions of entrepreneurs may be used to influence their eventual performance.
30
Kirmayer, Laurence J., Allan Young, and James M. Robbins. "Symptom Attribution in Cultural Perspective*." Canadian Journal of Psychiatry 39, no. 10 (December 1994): 584–95. http://dx.doi.org/10.1177/070674379403901002.
Full textAbstract:
The explanatory model perspective of medical anthropology emphasizes the cultural shaping of individuals' efforts to make sense of their symptoms and suffering. Causal attribution is a pivotal cognitive process in this personal and social construction of meaning. Cultural variations in symptom attribution affect the pathogenesis, course, clinical presentation and outcome of psychiatric disorders. Research suggests that styles of attribution for common somatic symptoms may influence patients' tendency to somatize or psychologize psychiatric disorders in primary care. At the same time, symptom attributions are used to negotiate the sociomoral implications of illness. Recent work in social psychology and medical anthropology emphasizes the roots of attributional processes in bodily and social processes that are highly context-dependent, and hence, must be understood as part of the construction of a local world of meaning. Symptom attributions then may be understood as forms of positioning with both cognitive and social consequences relevant to psychiatric assessment and intervention.
31
Foss, Nicolai J., Keld Laursen, and Torben Pedersen. "Linking Customer Interaction and Innovation: The Mediating Role of New Organizational Practices." Organization Science 22, no. 4 (August 2011): 980–99. http://dx.doi.org/10.1287/orsc.1100.0584.
Full textAbstract:
The notion that firms can improve their innovativeness by tapping users and customers for knowledge has become prominent in innovation studies. Similar arguments have been made in the marketing literature. We argue that neither literatures take sufficient account of firm organization. Specifically, firms that attempt to leverage user and customer knowledge in the context of innovation must design an internal organization appropriate to support it. This can be achieved in particular through the use of new organizational practices, notably, intensive vertical and lateral communication, rewarding employees for sharing and acquiring knowledge, and high levels of delegation of decision rights. In this paper, six hypotheses were developed and tested on a data set of 169 Danish firms drawn from a 2001 survey of the 1,000 largest firms in Denmark. A key result is that the link from customer knowledge to innovation is completely mediated by organizational practices. This work is licensed under a Creative Commons Attribution 4.0 International License. You are free to copy, distribute, transmit and adapt this work, but you must attribute this work as “Organization Science. Copyright © 2017 INFORMS. https://doi.org/10.1287/orsc.1100.0584 , used under a Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ .”
32
Bentley, Andrew. "Integration, Attribution, and Value in the Web of Natural History Museum Data." Biodiversity Information Science and Standards 2 (April 2, 2018): e25456. http://dx.doi.org/10.3897/biss.2.25456.
Full textAbstract:
Collections, aggregators, data re-packagers, publishers, researchers, and external user groups form a complex web of data connections and pipelines. This forms the natural history infrastructure essential for collections use by an ever increasing and diverse external user community. We have made great strides in developing the individual actors within this system and we are now well poised to utilize these capabilities to address big picture questions. We need to continue work on the individual aspects, but the focus now needs to be on integration of the functionality provided by the actors involved in the pipeline to facilitate the transfer of data between them with as few human interventions as possible. In order for the system to function efficiently and to the benefit of all parties, information, data, and resources need not only to be integrated efficiently but flow in the reverse direction (attribution) to facilitate collections advocacy and sustainability. There are unrealized benefits to collections from inclusion into aggregators and subsequent use by researchers and publishers. A recent National Science Foundation (NSF) funded Research Coordination Network (RCN) Biodiversity Collections Network (BCoN) needs assessment workshop identified a possible solution to the integration and attribution of collections data and specimen information using a suite of unique, persistent identifiers for specimen records (Universally Unique Identifiers or UUIDs), datasets (Digital Object Identifiers or DOIs) and institutions/collections (Cool Uniform Resource Identifiers or Cool URIs). This talk will highlight this potential workflow and the work needed to achieve this solution while soliciting participation from actors in the pipeline and the community at large.
33
Lee, Kwan Min, Jae-gil Lee, and Young June Sah. "Interacting with an embodied interface." Interaction Studies 23, no. 1 (October 20, 2022): 116–42. http://dx.doi.org/10.1075/is.20030.lee.
Full textAbstract:
Abstract Despite their potential for facilitating interaction between a user and computer, an embodied agent and voice command have not been examined enough for their matching effects. The current study proposes that an embodied agent and voice command generate positive evaluative outcomes, particularly when they are accompanied by each other. To test this prediction, we conducted a 2 (visual output: embodied agent vs. geometric figure) × 2 (input modality: voice command vs. remote controller) between-subjects experiment (N = 52), and examined whether visual output and input modality jointly influence participants’ social attribution (i.e., anthropomorphism, animacy, likability, and perceived intelligence), social presence, and satisfaction. Results show that voice command does facilitate users’ social attribution and social presence, but only when an embodied agent was presented. Also, the effects of voice command on social presence and satisfaction were mediated by anthropomorphism and perceived intelligence respectively, but only when the interface displayed an embodied agent. The present study evidences the holistic nature of human-computer interaction, revealing the importance of matches in the input and output interface.
34
Tanibe, Tetsushi, and Kaori Karasawa. "The attribution of responsibility to the manufacturer and/or user after an accident caused by a self-driving car." JAPANESE JOURNAL OF EXPERIMENTAL SOCIAL PSYCHOLOGY 61, no. 1 (2021): 10–21. http://dx.doi.org/10.2130/jjesp.2016.
Full text
35
Morris, Hugh, and John Decicco. "Extent to Which User Fees Cover Road Expenditures in the United States." Transportation Research Record: Journal of the Transportation Research Board 1576, no. 1 (January 1997): 56–62. http://dx.doi.org/10.3141/1576-07.
Full textAbstract:
The extent to which road users pay, through user fees, the full cost of the infrastructure and services they consume has been an issue for several decades. In contrast to most previous studies, a recent American Petroleum Institute (API) report concludes that payments by road users exceed direct government road expenditures by 50 percent. The API study points out that conventional accounts of road finance data report only revenues used for highways, thereby excluding funds from other automobile-related transactions (such as vehicle sales taxes) that are not specifically spent on roads. Two major issues with the accounting methodology used by API are identified: incorrect attribution of general taxes as user fees and neglect of various road-related costs. Combined, these shortcomings inflate the revenue side of the ledger and hold down the expenditure side. A more detailed accounting of the revenues generated by road users as well as the public costs, both direct and indirect, that are attributable to the road system and its use is presented. Reexamination of the 1992 accounts indicates that total public expenditures on road-related items were $97.2 billion, whereas public revenues specifically raised from road users amounted to $75.5 billion. The result is a gap of $21.7 billion that was spent on road-related items that were not covered by road user fees. Thus, road user fees covered only 78 percent of public road-related costs in the United States in 1992.
36
Töppel, Mandy, and Christian Reichel. "Qualitative Methods and Hybrid Maps for Spatial Perception with an Example of Security Perception." Urban Planning 6, no. 1 (February 24, 2021): 105–19. http://dx.doi.org/10.17645/up.v6i1.3614.
Full textAbstract:
The security/insecurity of our cities has become the subject of public debate in recent years. The individual intuitions about security or insecurity can vary with age, gender, social background, personal constitution and previous positive or negative experiences. They are also constantly (re)produced, as perceptions of space are individual and selective. Noting these variations, materialised factors also play a major role, e.g., recessed house entrances, dense or high hedges, poor orientation options, dark places, etc. Attributing meaning to these materialised factors, real constructs are formed which create positive or negative narratives about certain (urban) spaces, influencing the actual use and design of urban spaces. To investigate the importance attached to certain spaces, qualitative methods are required for examining socio-spatial situations, perceptual processes and attribution. Using different methods in an explorative and in-depth descriptive research phase, such as expert interviews, user observations, surveys on go-alongs, participatory mapping with detailed information on structural and spatial locations, the advantages and disadvantages of method selection are presented. Berlin’s Alexanderplatz was used as a case study area to determine perceptions of security in urban areas. We confirmed that despite variations, certain subjective perceptions concerning visibility, brightness, and audibility are collective. Additionally, hybrid maps are used to explain how subjective perceptions of space, combined with 3D graphics, can alert architects and city planners to uncertainty among users of public space.
37
Tennert, Falk. "An attributional analysis of corporate reporting in crisis situations." Journal of Communication Management 18, no. 4 (October 28, 2014): 422–35. http://dx.doi.org/10.1108/jcom-09-2012-0074.
Full textAbstract:
Purpose – The purpose of this paper is to use an attributional approach to examine press coverage in Germany dealing with Toyota’s 2010 global product recall due to purportedly defective brakes. The research focuses on the attributions of cause and responsibility and, thereby, the practices of media-brokered selection and interpretation of events. Design/methodology/approach – The methodology used is a quantitative content analysis of selected German print media. Corporate reporting is analysed with the help of attribution theory approaches from the field of psychology, which, when applied to public relations themes, thereby enables the identification of latent and manifest risk factors that emerge from the perceived responsibility of the media. Findings – Causal attributions are an essential aspect of coverage in acute crisis situations. The key findings show a dominance of internal attributions of responsibility in which the media interprets the crisis as self inflicted and ascribes a high level of fault on the company. Exonerating attributions according to a self-serving bias find little resonance in the coverage. The responsibility attributed to Toyota by the media coverage to a sustained damage to the company’s reputation. Originality/value – The study demonstrates that attribution theory can be productively applied to questions of communication management. This approach enables an analysis of attribution discourse as well as the potential long-term effects on the company’s reputation. Thus, the original value of this study lies in the psychological foundation of organisational risk and opportunity.
38
Wang, Guangbo, and Jianhua Wang. "Research on Ciphertext-Policy Attribute-Based Encryption with Attribute Level User Revocation in Cloud Storage." Mathematical Problems in Engineering 2017 (2017): 1–12. http://dx.doi.org/10.1155/2017/4070616.
Full textAbstract:
Attribute-based encryption (ABE) scheme is more and more widely used in the cloud storage, which can achieve fine-grained access control. However, it is an important challenge to solve dynamic user and attribute revocation in the original scheme. In order to solve this problem, this paper proposes a ciphertext-policy ABE (CP-ABE) scheme which can achieve attribute level user attribution. In this scheme, if some attribute is revoked, then the ciphertext corresponding to this attribute will be updated so that only the individuals whose attributes meet the access control policy and have not been revoked will be able to carry out the key updating and decrypt the ciphertext successfully. This scheme is proved selective-structure secure based on the q-Parallel Bilinear Diffie-Hellman Exponent (BDHE) assumption in the standard model. Finally, the performance analysis and experimental verification have been carried out in this paper, and the experimental results show that, compared with the existing revocation schemes, although our scheme increases the computational load of storage service provider (CSP) in order to achieve the attribute revocation, it does not need the participation of attribute authority (AA), which reduces the computational load of AA. Moreover, the user does not need any additional parameters to achieve the attribute revocation except for the private key, thus saving the storage space greatly.
39
Rajamma, Rajasree K., Audhesh Paswan, and Nancy Spears. "User-generated content (UGC) misclassification and its effects." Journal of Consumer Marketing 37, no. 2 (October 23, 2019): 125–38. http://dx.doi.org/10.1108/jcm-08-2018-2819.
Full textAbstract:
Purpose User-generated content (UGC), e.g. YouTube videos on social media, is all around us. These UGCs are primarily demonstrational and/or informational in their execution format. However, viewers could easily misclassify the UGCs and that may be detrimental to the focal product in the UGC. This study aims to investigate this phenomenon. Design/methodology/approach The study uses an online survey (N = 459). The respondents were randomly exposed to one of the two UGCs – informational or demonstrational – and then responded to questions measuring their attribution and their purchase intention towards the focal product in the UGC. Findings Results indicate that about 20% of the respondents misclassified the type of UGC. Further, UGC characteristics such as vicarious experience, transparency and connectedness significantly enhance purchase intention, especially for demonstrational videos; demonstrational UGC, when correctly perceived yield the most favorable results; and misclassification does suppress these relationships. Research limitations/implications This study contributes to the theory and practice by linking the viewer evaluation of UGC on various evaluative dimensions (i.e. vicarious experience, connectedness, transparency and perceived risk), purchase intention towards the focal product in the UGC and correct or incorrect classification of the UGC format (demonstrational or informational). This study adds to the knowledge base about UGC by highlighting some of the pitfalls when viewers misclassify the UGC format and emphasizes the importance of a match between the content of the UGC and the perceptions and expectations associated with the medium on which it is uploaded. Like any other research, this study too has its limitations. It has only looked at a few possible variables that would predict the purchase intention in the context of the complex and rich phenomenon of UGC. Future studies should look at other sources of misclassification. Practical implications Given the ubiquitous nature of social media and their role in consumer decision-making, the findings of this study have serious practical implications. The results of the study highlight steps to be taken by both creators and marketers to improve effectiveness of UGCs. Social implications While this study does not focus on the social aspects of UGCs, it is not difficult to imagine the phenomenon of UGC misclassification, either as a mistake or deliberately induced and its social implications. Fake news seems to be not uncommon. Originality/value Even though the impact of consumer-to-consumer information exchange and UGC on consumers’ brand attitude and purchase intention is well recognized, there is limited research on this topic. Further, to the best of the authors’ knowledge, this study is the first to explicitly examine the concept of misclassification and corresponding issues in the context of UGCs.
40
Otake, Mihoko, Kohei Arai, Motoichiro Kato, Takaki Maeda, Yusuke Ikemoto, Kuniaki Kawabata, Toshihisa Takagi, and Hajime Asama. "Experimental Analysis of the Attribution of Own Actions to the Intention of Self or Others by the Multiple Forward Models." Journal of Robotics and Mechatronics 19, no. 4 (August 20, 2007): 482–88. http://dx.doi.org/10.20965/jrm.2007.p0482.
Full textAbstract:
Human cognitive mechanisms have been studied for designing user-friendly interface. One of the key issues is the attribution of own actions to the intention of self or others. It is known that patients with schizophrenia who sometimes attribute their own actions to the intentions of others may perceive themselves as causing events which they do not in fact control, when they feel they are in voluntary movement. In this study, we administered similar experiments to normal subjects. We also conducted computational simulations through extending the multiple forward models, which successfully described the experimental results.
41
Hameleers, Michael, Linda Bos, and Claes H. de Vreese. "Shoot the messenger? The media’s role in framing populist attributions of blame." Journalism 20, no. 9 (March 13, 2017): 1145–64. http://dx.doi.org/10.1177/1464884917698170.
Full textAbstract:
Attributing blame to elites is central to populist communication. Although empirical research has provided initial insights into the effects of populist blame attribution on citizens’ political opinions, little is known about the contextual factors surrounding its presence in the media. Advancing this knowledge, this article draws on an extensive content analysis ( N = 867) covering non-election and election periods to provide insights into how populist blame attributions are embedded in journalistic reporting styles. Using Latent Class Analysis, we first identified three distinct styles of reporting: neutral, conflict, and interpretative coverage. In line with our predictions, we find that populist blame attributions are present most in conjunction with an interpretative journalistic style and least when a neutral journalistic style is used. Populist blame attributions are more likely to be used by journalists of tabloid newspapers than journalists of broadsheet newspapers. These results provide valuable insights for understanding the intersections between journalism and populist communication.
42
Kang, Seok, KyuJin Shim, and Jiyoun Kim. "Social Media Posts on Samsung Galaxy Note 7 Explosion: A Comparative Analysis of Crisis Framing and Sentiments in Three Nations." Journal of International Crisis and Risk Communication Research 2, no. 2 (2019): 259–90. http://dx.doi.org/10.30658/jicrcr.2.2.5.
Full textAbstract:
This study explores the Samsung Galaxy Note 7 explosion crisis by analyzing posts on Twitter in three nations: the United States, Australia, and South Korea. Using the perspectives of generic frames, issue-specific frames, cross-national frames, and user sentiment on Twitter, this study analyzes 600 posts (200 from each nation). Results reveal that Twitter posts frequently framed the crisis using attribution, morality, and conflict frames. Posts about the explosion were more professional frame oriented than national frame oriented. Negative sentiment was dominant in Twitter posts about the explosion. Morality, corporate breakdown, and customer concerns were highly associated with negative sentiment. The results demonstrate how global users respond to a corporate crisis. Study implications and suggestions are discussed.
43
Yuill, Nicola, and Josef Perner. "Exceptions to Mutual Trust: Children's Use of Second-Order Beliefs in Responsibility Attribution." International Journal of Behavioral Development 10, no. 2 (June 1987): 207–23. http://dx.doi.org/10.1177/016502548701000205.
Full textAbstract:
Children of 6 to 9 years and adults judged a story protagonist's degree of blame for a traffic accident. All stories depicted a collision between a protagonist, who had the right of way, and another road user. Stories differed, however, in protagonist's second-order belief about the other road-user's knowledge. For instance, in one story, the protagonist mistakenly thought that the other had noticed her coming and that she could therefore rely on him abiding by the priority rule (principle of mutual trust) and grant her the right of way. This story contrasted with one where the protagonist knew that the other had not seen her and so was not justified in claiming priority. Most 7 and 8-year-old children understood the difference in second-order belief and about half of them were also able to make the correct responsibility attribution that the mistaken protagonist, thinking the other character knew, was less to blame for the accident than the one who knew about the other's ignorance. By 9 years, almost all children understood second-order beliefs and three-quarters were also able to make the correct responsibility attribution. The application of second-order beliefs to the principle of mutual trust is discussed in relation to communication failures and cooperative interaction.
44
Guo, Libin, and Xiangtian Guo. "A Blockchain Technology Introduction Strategy for Asymmetric Sharing Platforms under Different Homing Behaviors of Both Sides." International Journal of Environmental Research and Public Health 19, no. 23 (November 30, 2022): 16060. http://dx.doi.org/10.3390/ijerph192316060.
Full textAbstract:
To address user privacy concerns and improve user trust levels, sharing platforms are commencing to focus on investing in blockchain technology. This study focuses on blockchain technology investment and pricing strategies for two asymmetric sharing platforms. By constructing a Hotelling model, we investigate the investment strategies of the two asymmetric platforms regarding blockchain technology under different user attribution behaviours, i.e., single-homing or multi-homing, and the optimal pricing under different investment decisions. Afterwards, we compare and analyse the investment strategies under different conditions, obtain the influence of relevant market factors on the pricing strategies of the platforms, and finally determine the optimal timing of blockchain technology investment for asymmetric sharing platforms. The results indicate that when users’ perception of blockchain value is high, both platforms are motivated to introduce blockchain technology, and, conversely, a stronger platform exits the blockchain market. In multi-homing markets, platforms are more likely to implement blockchain strategies and the cost of technology investment is significantly higher than in a single-homing market. In addition, we also find that the degree of differentiation has a significant impact on the blockchain strategies of weaker platform under multi-homing market.
45
Brookman, Justin, Phoebe Rouge, Aaron Alva, and Christina Yeung. "Cross-Device Tracking: Measurement and Disclosures." Proceedings on Privacy Enhancing Technologies 2017, no. 2 (April 1, 2017): 133–48. http://dx.doi.org/10.1515/popets-2017-0020.
Full textAbstract:
Abstract Internet advertising and analytics technology companies are increasingly trying to find ways to link behavior across the various devices consumers own. This cross-device tracking can provide a more complete view into a consumer’s behavior and can be valuable for a range of purposes, including ad targeting, research, and conversion attribution. However, consumers may not be aware of how and how often their behavior is tracked across different devices. We designed this study to try to assess what information about cross-device tracking (including data flows and policy disclosures) is observable from the perspective of the end user. Our paper demonstrates how data that is routinely collected and shared online could be used by online third parties to track consumers across devices.
46
Kleut, Jelena, and Brankica Drašković. "Discourses of poverty across genres: Competing representations of the poor in the transitional context of Serbia." Discourse & Society 32, no. 1 (October 15, 2020): 42–63. http://dx.doi.org/10.1177/0957926520961629.
Full textAbstract:
This article examines representations of the poor across three genres – the government’s Bulletin on Social Inclusion and Poverty Reduction, online news and online user comments – during the period that immediately followed the expiration of the first Serbian Poverty Reduction Strategy (2010–2012). The results show differences in the actors’ representation, and in attribution of causal and treatment responsibility. The Bulletin is characterised by the discourse of social inclusion, activation and responsibilisation of the poor. This discourse does not reach the news, which portrays the poor as passive beneficiaries of the government actions, as individuals in extreme poverty, and as the agentic working poor protesting for wages. In the online user comments, poverty is articulated as the personal experience of the commenters. The news discourse of state responsibility is echoed in the comments sections and further recontextualised into the discourse of political responsibility.
47
Newman, Andrew J., Martyn P. Clark, Ryan J. Longman, and Thomas W. Giambelluca. "Methodological Intercomparisons of Station-Based Gridded Meteorological Products: Utility, Limitations, and Paths Forward." Journal of Hydrometeorology 20, no. 3 (March 1, 2019): 531–47. http://dx.doi.org/10.1175/jhm-d-18-0114.1.
Full textAbstract:
Abstract This study presents a gridded meteorology intercomparison using the State of Hawaii as a testbed. This is motivated by the goal to provide the broad user community with knowledge of interproduct differences and the reasons differences exist. More generally, the challenge of generating station-based gridded meteorological surfaces and the difficulties in attributing interproduct differences to specific methodological decisions are demonstrated. Hawaii is a useful testbed because it is traditionally underserved, yet meteorologically interesting and complex. In addition, several climatological and daily gridded meteorology datasets are now available, which are used extensively by the applications modeling community, thus an intercomparison enhances Hawaiian specific capabilities. We compare PRISM climatology and three daily datasets: new datasets from the University of Hawai‘i and the National Center for Atmospheric Research, and Daymet version 3 for precipitation and temperature variables only. General conclusions that have emerged are 1) differences in input station data significantly influence the product differences, 2) explicit prediction of precipitation occurrence is crucial across multiple metrics, and 3) attribution of differences to specific methodological choices is difficult and limits the usefulness of intercomparisons. Because generating gridded meteorological fields is an elaborate process with many methodological choices interacting in complex ways, future work should 1) develop modular frameworks that allows users to easily examine the breadth of methodological choices, 2) collate available nontraditional high-quality observational datasets for true out-of-sample validation and make them publicly available, and 3) define benchmarks of acceptable performance for methodological components and products.
48
Trovato, Gabriele, Cesar Lucho, and Renato Paredes. "She’s Electric—The Influence of Body Proportions on Perceived Gender of Robots across Cultures." Robotics 7, no. 3 (September 5, 2018): 50. http://dx.doi.org/10.3390/robotics7030050.
Full textAbstract:
The assignment of gender to robots is a debatable topic. Subtle aspects related to gender, in a robot’s appearance, may create biased expectations of the robot’s abilities and influence user acceptance. The present research is a cross-cultural study involving more than 150 participants to investigate the perception of gender in robot design by manipulating body proportions. We are focusing specifically on the contrast between two extremely different cultures: Peruvian and Japanese. From the survey based on stimuli varying in the proportion between chest, waist, and hips, the results indicate the importance of chest-to-hip ratio and waist-to-hip ratio in the attribution of gender to robots.
49
Choi, Se Yeon, Goo Hyeok Chung, and Jin Nam Choi. "Why are we having this innovation? Employee attributions of innovation and implementation behavior." Social Behavior and Personality: an international journal 47, no. 7 (July 18, 2019): 1–13. http://dx.doi.org/10.2224/sbp.8124.
Full textAbstract:
We used attribution theory to explain employee behavior toward innovation implementation. We focused on employee innovation attributions to organizational intentionality as employees' sensemaking of why their organization has adopted an innovation. We identified two types of employee attributions: to constructive intentionality and to deceptive intentionality. We collected data from 397 employees and 84 managers of Chinese and Korean organizations. Results showed that employee attribution to constructive intentionality enhanced innovation effectiveness by increasing active implementation and decreasing implementation avoidance. By contrast, employee attribution to deceptive intentionality diminished innovation effectiveness by increasing implementation avoidance. These findings enrich the innovation implementation literature by introducing the attribution-based perspective of sensemaking.
50
Jevtić, Jelena, Slavica Tomić, and Ksenija Leković. "Perception of Fairness of Interaction in Handling Complaints of Users of Travel Agency Services: Evidence from Serbia and Croatia." ENTRENOVA - ENTerprise REsearch InNOVAtion 7, no. 1 (December 7, 2021): 194–203. http://dx.doi.org/10.54820/umml5091.
Full textAbstract:
Service-dominant logic observes the user as a co-creator of value in the process of providing services. In the case of a complaint, as a result of dissatisfaction, the user and the travel agency become a co-creator of the value of service recovery. The perception of interactionist fairness is one of the determinants of a user’s complaint behaviour. Interactionist fairness is seen in the extent to which users consider to be treated fairly in terms of their interaction with a travel agency employee during the service recovery process. The research presented in this paper is based on determining the differences in perception of fairness of interaction in handling complaints of users of travel agency services in terms of their socio-demographic characteristics. The survey was conducted on a sample that included 297 respondents from the territory of Serbia and Croatia. The proposed hypotheses were tested using the Mann – Whitney U test and the Kruskal–Wallis test. The purpose of this paper is to point out to travel agencies the importance of users’ reactions to unsatisfactory service as a kind of reflection of cooperation in service recovery.
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.