scholarly journals Consumer Ethicality Perception and Legitimacy: Competitive Advantages in COVID-19 Crisis

2021 ◽  
pp. 000276422110165
Author(s):  
Gregory Payne ◽  
Alicia Blanco-González ◽  
Giorgia Miotto ◽  
Cristina del-Castillo

The article aims to analyze the cause–effect relationship between Brand Ethicality Perception (CPE), legitimacy and purchase intention during the COVID-19 first wave, taking into consideration the mediation effect of the country of residence. Data collection was based on a survey launched during the COVID-19 lockdown in Madrid and New York. To analyze the established hypotheses and to test the multigroup analysis, we applied a structural modelling with SmartPLS. The research contributes to the field of brand management, and specifically of ethical branding, since it will analyze how stakeholders’ expectations fulfillment is key to build a consistent and valued brand meaning in crisis’ situations, demonstrating that ethical behaviors are key for gaining corporate legitimacy and, therefore, for improving business performances.

2011 ◽  
Vol 9 (1-2) ◽  
pp. 78-90
Author(s):  
Tarry Hum

This policy brief examines minority banks and their lending practices in New York City. By synthesizing various public data sources, this policy brief finds that Asian banks now make up a majority of minority banks, and their loans are concentrated in commercial real estate development. This brief underscores the need for improved data collection and access to research minority banks and the need to improve their contributions to equitable community development and sustainability.


Author(s):  
Jun Zou ◽  
Yifan Tang ◽  
Ping Qing ◽  
Han Li ◽  
Amar Razzaq

Environmental issues are still challenging and of global concern. To improve the environmental consumption behavior of consumers, this study investigates whether the match between the promotion mode and product type can improve the conceptual fluency of consumers, so as to increase their purchase intention for green products. The results of three experiments reveal that the interaction between promotion mode and product type has a certain impact on the conceptual fluency of consumers, which can, in turn, promote their purchase intention. This research theoretically contributes to the research on green consumption by introducing promotion mode and revealing the mediation effect of conceptual fluency, it also provides some practical implications for alleviating environmental problems.


2016 ◽  
Vol 44 (7) ◽  
pp. 713-730 ◽  
Author(s):  
Gopal Das

Purpose – The purpose of this paper is to examine the antecedents and consequences of trust in online shopping from an e-tail branding perspective. Design/methodology/approach – A structured questionnaire was used to collect data online from Indian e-tail shoppers (n=309). A structural equation modelling (CB-SEM approach) was used to analyse the data. Findings – The results found e-tailer awareness, e-tailer associations, and e-tailer perceived quality as antecedents of trust in online shopping. The results also showed online trust positively influences the behavioural intentions, namely, purchase intention, repurchase, and recommendation. Originality/value – This study examines the applicability and branding and brand management principles in an e-tail branding context. Theoretical and managerial implications of these results are further discussed.


2020 ◽  
Vol 6 (2) ◽  
pp. 87-91
Author(s):  
Hartiwi Prabowo ◽  
Rini Kurnia Sari ◽  
Stephanie Bangapadang

The research conducted is to know the impact of social network marketing on consumer purchase intention and consumers who become research are active students at private universities in Jakarta, and how social network marketing also affect consumer engagement (as moderate variable). The research method used in this research is quantitative research method. A method of data collection used in this research is a questionnaire distributed to 119 university students. The results of this study showed that social network marketing has a strong and significant impact oncustomer engagement, customer engagementhas a strong and significant impact on consumer purchase intention, social network marketing has a strong and significant impact consumer purchase intention, and also there is a significant impact from social network marketing on consumer purchase intention through consumer engagement.


Author(s):  
Minyoung Lee ◽  
Taerim Lee ◽  
Sang Min Lee

Abstract This study aimed to verify the different effects of peer support on academic hatred depending on the levels of teachers’ academic pressure. Additionally, we examined the effects of academic hatred on academic burnout and engagement by applying the job demand-resources (JD-R) model. Data were collected from 43 classes at 8 high schools (N = 1015, 94.2% response rate, 57.3% women) in South Korea. The results of a multigroup analysis were as follows: (1) peer support served as an important resource in classrooms experiencing high teachers’ academic pressures; (2) peer support directly affected academic burnout and engagement, and reduced academic hatred; and (3) reduced academic hatred served as a mediator for lower burnout rate and increased engagement.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Alberto Lopez ◽  
Ricardo Garza

PurposeDo consumers rate reviews describing other consumers' sensory experience of a product (touch, smell, sight, hear and taste) as helpful or do they rate reviews describing more practical properties (product performance and characteristics/features) as more helpful? What is the effect of review helpfulness on purchase intention? Furthermore, why do consumers perceive sensory and non-sensory reviews differently? This study answers these questions.Design/methodology/approachThe authors analyze 447,792 Amazon reviews and perform a topic modeling analysis to extract the main topics that consumers express in their reviews. Then, the topics were used as regressors to predict the number of consumers who found the review helpful. Finally, a lab experiment was conducted to replicate the results in a more controlled environment to test the serial mediation effect.FindingsContrary to the overwhelming evidence supporting the positive effects of sensory elicitation in marketing, this study shows that sensory reviews are less likely to be helpful than non-sensory reviews. Moreover, a key reason why sensory reviews are less effective is that they decrease the objective perception of the review, a less objective review then decreases the level of helpfulness, which decreases purchase intention.Originality/valueThis study contributes to the interactive marketing field by investigating customer behavior and interactivity in online shopping sites and to the sensory marketing literature by identifying a boundary condition, the authors’ data suggest that sensory elicitations might not be processed positively by consumers when they are not directly experienced, but instead communicated by another consumer. Moreover, this study indicates how companies can encourage consumers to share more effective and helpful reviews.


2019 ◽  
Vol 1 ◽  
pp. 1-2
Author(s):  
Nathaniel Garnett Slaughter IV

<p><strong>Abstract.</strong> In October of 2018, the first official squirrel census of New York City’s Central Park was conducted. Throughout the project’s 30-month duration, maps were a critical tool &amp;ndash; from logistical planning and data gathering, to data analysis and presentation of census results. Of these project phases, two in particular generated important cartographical work, not only to the success of the census project, but within the historical lineage of Central Park maps: the Tally Map, which was used for squirrel and park data collection, and the series of maps to be used to present the census findings in the Official Central Park Squirrel Census Report.</p>


2015 ◽  
Vol 1 (2) ◽  
pp. 23
Author(s):  
Marcio Carneiro Dos Santos

Explora-se a possibilidade de automação da coleta de dados em sites, a partir da aplicação de código construído em linguagem de programação Python, utilizando a sintaxe específica do HTML (HiperText Markup Language) para localizar e extrair elementos de interesse como links, texto e imagens. A coleta automatizada de dados, também conhecida como raspagem (scraping) é um recurso cada vez mais comum no jornalismo. A partir do acesso ao repositório digital do site www.web.archive.org, também conhecido como WayBackMachine, desenvolvemos a prova de conceito de um algoritmo capaz de recuperar, listar e oferecer ferramentas básicas de análise sobre dados coletados a partir das diversas versões de portais jornalísticos ao longo do tempo. PALAVRAS-CHAVE: Raspagem de dados. Python  Jornalismo Digital.  HTML. Memória.  ABSTRACTWe explore the possibility of automation of data collection from web pages, using the application of customized code built in Python programming language, with specific HTML syntax (Hypertext Markup Language) to locate and extract elements of interest as links, text and images. The automated data collection, also known as scraping is an increasingly common feature in journalism. From the access to the digital repository site www.web.archive.org, also known as WayBackMachine, we develop a proof of concept of an algorithm able to recover, list and offer basic tools of analysis of data collected from the various versions of newspaper portals in time series.KEYWORDS: Scraping. Python. Digital Journalism. HTML. Memory. RESUMENSe explora la posibilidad de automatización de los sitios de recolección de datos, desde el código de aplicación construida en lenguaje de programación Python, utilizando la sintaxis específica de HTML (Hypertext Markup Language) para localizar y extraer elementos de interés, tales como enlaces, texto e imágenes. La colección de datos automatizada, también conocido como el raspado es una característica cada vez más común en el periodismo. Desde el acceso a la www.web.archive.org, sitio de repositorio digital, también conocida como WayBackMachine, desarrollamos una prueba de concepto de un algoritmo para recuperar, listar y ofrecer herramientas básicas de análisis de los datos recogidos de las diferentes versiones de portales de periódicos en el tiempo. PALABRAS CLAVE: Raspar datos. Python. Periodismo digital. HTML. Memoria. ReferênciasBIRD, Steven; LOPER, Edward; KLEIN, Ewan. Natural Language Processing with Python: analyzing text with the Natural Language Toolkit. New York: O'Reilly Media Inc., 2009.BONACICH, Phillip; LU, Phillip. Introduction to mathematical sociology. New Jersey: Princeton University Press, 2012.BRADSHAW, Paul. Scraping for Journalists. Leanpub, 2014, [E-book].GLEICK, James. A Informação. Uma história, uma teoria, uma enxurrada. São Paulo, Companhia das Letras, 2013.MANOVICH, Lev. The Language of New Media. Cambrige: Mit Press, 2001.MORETTI, Franco. Graphs, maps, trees. Abstract models for literary history. New York, Verso, 2007.ROGERS, Richard. Digital Methods. Cambridge: Mit Press, 2013. E-book.SANTOS, Márcio. Conversando com uma API: um estudo exploratório sobre TV social a partir da relação entre o twitter e a programação da televisão. Revista Geminis, ano 4 n. 1, p. 89-107, São Carlos. 2013. Disponível em: . Acesso em: 20 abr. 2013.SANTOS, Márcio. Textos gerados por software. Surge um novo gênero jornalístico. Anais XXXVII Congresso Brasileiro de Ciências da Comunicação. Foz do Iguaçu, 2014. Disponível em: . Acesso em 26 jan. 2014. Disponível em:Url: http://opendepot.org/2682/ Abrir em (para melhor visualização em dispositivos móveis - Formato Flipbooks):Issuu / Calameo


2021 ◽  
Vol 18 (2) ◽  
pp. 413-430
Author(s):  
Acai Sudirman ◽  
Andy Wijaya ◽  
Sherly Sherly ◽  
Fitria Halim ◽  
Anju Bhernadetha Nainggolan

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