scholarly journals The role of cultural values in consumers' evaluation of online review helpfulness: a big data approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Raffaele Filieri ◽  
Marcello Mariani
Keyword(s):  
Big Data ◽  
Cultural Values ◽  
Information Overload ◽  
Online Reviews ◽  
Cultural Factors ◽  
Third Party ◽  
Consumer Reviews ◽  
Content Type ◽  
Review Helpfulness

PurposeOnline consumer reviews are increasingly used by third-party e-commerce organizations to shed light on the positive and negative sides of the brands they sell. However, the large number of consumer reviews requires these organizations to shortlist the most helpful ones to cope with information overload. A growing number of scholars have been investigating the determinants of review helpfulness; however, little is known about the influence of cultural factors in consumer's evaluation of review helpfulness.Design/methodology/approachThis study has adopted Hofstede's cultural values framework to assess the influence of cultural factors on review helpfulness. We used a sample of 570,669 reviews of 851 hotels published by reviewers from 81 countries on Booking.com.FindingsFindings reveal that reviewers from cultural contexts that score high on power distance, individualism, masculinity, uncertainty avoidance and indulgence are more likely to write helpful reviews.Originality/valueThis is one of the first cross-cultural studies in marketing using a big data approach in examining how users of reviews from different countries evaluate the helpfulness of online reviews.

When profile photos matter: the roles of reviewer profile photos in the online review generation and consumption processes

2020 ◽  
Vol 14 (4) ◽  
pp. 391-412
Author(s):  
Jong Min Kim ◽  
Miyea Kim ◽  
Sookyoung Key
Keyword(s):  
Sample Size ◽  
Critical Role ◽  
Experimental Studies ◽  
Online Reviews ◽  
Online Review ◽  
Generation Process ◽  
Content Type ◽  
Managerial Implications ◽  
Review Helpfulness

Purpose Many online review sites, such as TripAdivisor.com, encourage review posters to upload a profile photo to improve the perceived reliability of online reviews. This study aims to examine the roles of reviewer profile photos in the online review generation and consumption processes. Design/methodology/approach Data were collected via Amazon MTurk. Two experimental studies were conducted. Study 1 had a sample size of 106 respondents. In Study 1, this paper examined the role of a reviewer profile photo in the online review generation process. Study 2 had a sample size of 482 respondents. In Study 2, this paper examined the role of a reviewer profile photo in the online review consumption process under two different circumstances, namely, comprehensive and incomprehensive review text. Findings The findings show that reviewer profile photos play different roles when consumers generate online reviews versus when they consume reviews. In the review generation process, reviewers are more likely to upload a profile photo to improve the credibility of their reviews. On the other hand, in the review consumption process, reviewer profile photos do not contribute to an increase in the perceived review helpfulness. Originality/value If the readers have difficulty processing the review content, review profile photos play a critical role in determining perceived review helpfulness. This study provides both theoretical and managerial implications by indicating how reviewer profile photos play different roles in online review posting and consuming behavior.

Factors contributing to the helpfulness of online hotel reviews

2016 ◽  
Vol 28 (10) ◽  
pp. 2156-2177 ◽  
Author(s):  
Linchi Kwok ◽  
Karen L. Xie
Keyword(s):  
Big Data ◽  
Large Data ◽  
Online Reviews ◽  
Opinion Leaders ◽  
Data Set ◽  
Consumer Reviews ◽  
Content Type ◽  
Hotel Managers ◽  
Hospitality Managers ◽  
The Impact

Purpose This paper aims to examine the factors contributing to the helpfulness of online hotel reviews and to measure the impact of manager response on the helpfulness of online hotel reviews. Design/methodology/approach This investigation used a linear regression model that drew upon 56,284 consumer reviews and 10,797 manager responses from 1,405 hotels on TripAdvisor.com for analysis. Findings The helpfulness of online hotel reviews is negatively affected by rating and number of sentences in a review, but positively affected by manager response and reviewer experience in terms of reviewer status, years of membership, and number of cities visited. Manager response moderates the influence of reviewer experience on the helpfulness of online hotel reviews. Research limitations/implications Using the data from hotels in five major cities in Texas, the results may not be necessarily generalized to other markets, but the important role that manager response plays in online reviews is assessed with big data analysis. Practical implications The results suggest hospitality managers should strategically identify opinion leaders among reviewers and proactively influence the helpfulness of the reviews by providing manager response. Additionally, this study makes recommendations to webmasters of social media platforms in terms of advancing the algorithm of featuring the most helpful online reviews. Originality/value This study is at the frontier of research to explain how hotel managers can proactively identify opinion leaders among consumers and use manager response to influence the helpfulness of consumer reviews. Additionally, the results also provide new insights to the influence of reviewer demographic background on the helpfulness of online reviews. Finally, this study analyzed a large data set on a scale that was not available in traditional guest survey studies, responding to the call for big data applications in the hospitality industry.

The role of key online reviews in affecting online hotel booking: an empirical investigation

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dong Zhang ◽  
Pengkun Wu ◽  
Chong Wu
Keyword(s):  
Binary Logistic Regression ◽  
Online Reviews ◽  
Limited Attention ◽  
Content Type ◽  
Factors Affecting ◽  
Mediating Role ◽  
Antecedents And Consequences ◽  
Hotel Managers ◽  
Hotel Booking

Purpose The importance of online reviews on online hotel booking has been widely acknowledged. However, not all online reviews affect consumers equally. Compared with common online reviews, key online reviews (KORs) have a greater influence on consumers' decisions and online hotel booking. This study takes the first step to investigate the factors affecting the identification of KORs and the role of KORs in online hotel booking.Design/methodology/approach To test the research hypotheses, this study develops a crawler to obtain 551,600 online reviews of 650 hotels in ten representative large cities in China. This study first uses a binary logistic regression to identify KORs by combining review content quality and reviewer characteristics and then uses a log-regression model to investigate the role of KORs in online hotel booking.Findings This study mined the factors affecting the identification of KORs by analyzing review contents and reviewer characteristics. Our results revealed that KORs play a mediating role in the effects of review content and reviewer characteristics on online hotel booking.Originality/value This study focuses on KORs, which have received limited attention in research but are important to practitioners. Specifically, this study investigates the antecedents and consequences of KORs. Our results enable hotel managers to manage online reviews effectively, particularly KORs.

Big data-driven supply chain and performance: a resource-based view

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shampy Kamboj ◽  
Shruti Rana
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Small And Medium Enterprises ◽  
Data Driven ◽  
Equation Modeling ◽  
Firm Age ◽  
Content Type ◽  
Sustainable Performance ◽  
Medium Enterprises

PurposeThe main objective of this paper is to study the role of supply chain performance (SCP) as a mediator between big data-driven supply chain (BDDSC) and firm sustainable performance. In addition, the role of firm age as a moderator between BDDSC and SCP as well as between SCP and firm sustainable performance has also been explored.Design/methodology/approachThe 200 managers of medium or senior level positions in micro, small and medium enterprises (MSMEs) located at Delhi-NCR have been contacted. Further, collected data have been confirmed with confirmatory factor analysis (CFA). In this paper, structure equation modeling (SEM) has been employed to empirically check the proposed hypotheses and their relationships.FindingsThe findings confirmed that SCP mediates the link between BDDSC and firm sustainable performance. Additionally, firm age moderates the association between BDDSC and SCP as well as between SCP and firm sustainable performance.Research limitations/implicationsThe role of SCP and firm age between BDDSC and sustainable performance have been examined in the context of MSMEs in Delhi-NCR and thereby limit the generalization of results to other industries and country contexts.Originality/valueThe present study adds to the existing literature via recognizing the blackbox using SCP and firm age to comprehend BDDSC and firm sustainable performance relationship.

The role of big data analytics capabilities in bolstering supply chain resilience and firm performance: a dynamic capability view

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohamad Bahrami ◽  
Sajjad Shokouhyar
Keyword(s):  
Risk Management ◽  
Big Data ◽  
Supply Chain ◽  
Firm Performance ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Content Type ◽  
Supply Chain Resilience ◽  
Management Culture

PurposeBig data analytics capability (BDAC) can affect firm performance in several ways. The purpose of this paper is to understand how BDA capabilities affect firm performance through supply chain resilience in the presence of the risk management culture.Design/methodology/approachThe study adopted a cross-sectional approach to collect survey-based responses to examine the hypotheses. 167 responses were collected and analyzed using partial least squares in SmartPLS3. The respondents were generally senior IT executives with education and experience in data and business analytics.FindingsThe results show that BDA capabilities increase supply chain resilience as a mediator by enhancing innovative capabilities and information quality, ultimately leading to improved firm performance. In addition, the relationship between supply chain resilience and firm performance is influenced by risk management culture as a moderator.Originality/valueThe present study contributes to the relevant literature by demonstrating the mediating role of supply chain resilience between the BDA capabilities relationship and firm performance. In this context, some theoretical and managerial implications are proposed and discussed.

Big data analytics capabilities and organizational performance: the mediating effect of dual innovations

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Xiaofeng Su ◽  
Weipeng Zeng ◽  
Manhua Zheng ◽  
Xiaoli Jiang ◽  
Wenhe Lin ◽  
...  
Keyword(s):  
Big Data ◽  
Organizational Performance ◽  
Empirical Analysis ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Mediating Effect ◽  
Content Type ◽  
Mediating Role ◽  
The Relationship

PurposeFollowing the rapid expansion of data volume, velocity and variety, techniques and technologies, big data analytics have achieved substantial development and a surge of companies make investments in big data. Academics and practitioners have been considering the mechanism through which big data analytics capabilities can transform into their improved organizational performance. This paper aims to examine how big data analytics capabilities influence organizational performance through the mediating role of dual innovations.Design/methodology/approachDrawing on the resource-based view and recent literature on big data analytics, this paper aims to examine the direct effects of big data analytics capabilities (BDAC) on organizational performance, as well as the mediating role of dual innovations on the relationship between (BDAC) and organizational performance. The study extends existing research by making a distinction of BDACs' effect on their outcomes and proposing that BDACs help organizations to generate insights that can help strengthen their dual innovations, which in turn have a positive impact on organizational performance. To test our proposed research model, this study conducts empirical analysis based on questionnaire-base survey data collected from 309 respondents working in Chinese manufacturing firms.FindingsThe results support the proposed hypotheses regarding the direct and indirect effect that BDACs have on organizational performance. Specifically, this paper finds that dual innovations positively mediate BDACs' effect on organizational performance.Originality/valueThe conclusions on the relationship between big data analytics capabilities and organizational performance in previous research are controversial due to lack of theoretical foundation and empirical testing. This study resolves the issue by provides empirical analysis, which makes the research conclusions more scientific and credible. In addition, previous literature mainly focused on BDACs' direct impact on organizational performance without making a distinction of BDAC's three dimensions. This study contributes to the literature by thoroughly introducing the notions of BDAC's three core constituents and fully analyzing their relationships with organizational performance. What's more, empirical research on the mechanism of big data analytics' influence on organizational performance is still at a rudimentary stage. The authors address this critical gap by exploring the mediation of dual innovations in the relationship through survey-based research. The research conclusions of this paper provide new perspective for understanding the impact of big data analytics capabilities on organizational performance, and enrich the theoretical research connotation of big data analysis capabilities and dual innovation behavior.

The cultural dividend: a hidden source of economic growth in emerging countries

2017 ◽  
Vol 24 (4) ◽  
pp. 590-616 ◽  
Author(s):  
Shaomin Li ◽  
Seung Ho Park ◽  
David Duden Selover
Keyword(s):  
Economic Growth ◽  
Labor Productivity ◽  
Productivity Growth ◽  
Large Scale ◽  
Cultural Factors ◽  
Content Type ◽  
Economic Productivity ◽  
Large Scale Data ◽  
Productivity Gains

Purpose The purpose of this paper is to develop the theoretical linkage between culture and economic growth and empirically test the relationship by measuring culture and how it affects labor productivity. Design/methodology/approach This study uses a cross-section study of developing countries and regresses economic productivity growth on a set of control variables and cultural factors. Findings It is found that three cultural factors, economic attitudes, political attitudes, and attitudes towards the family, affect economic productivity growth. Originality/value Many economists ignore culture as a factor in economic growth, either because they discount the value of culture or because they have no simple way to quantify culture, resulting in the role of culture being under-researched. The study is the first to extensively examine the role of culture in productivity growth using large-scale data sources. The authors show that culture plays an important role in productivity gains across countries, contributing to the study of the effects of culture on economic development, and that culture can be empirically measured and linked to an activity that directly affects the economic growth – labor productivity.

scholarly journals Cultural factors and sexual dysfunction in clinical practice

2013 ◽  
Vol 19 (2) ◽  
pp. 144-152 ◽  
Author(s):  
Vishal Bhavsar ◽  
Dinesh Bhugra
Keyword(s):  
Sexual Dysfunction ◽  
Cultural Values ◽  
Help Seeking ◽  
Epidemiological Data ◽  
Explanatory Models ◽  
Cultural Factors ◽  
Child Rearing ◽  
Sex Partners ◽  
Therapeutic Engagement

SummaryAttitudes to sex and the perceived role of sexual activity are very strongly influenced by cultural values. Culturally determined gender roles influence relationships between different-sex partners, and cultural values affect attitudes towards sexual variation. Cultures define what is deviant and from where help is sought. Through differing patterns of child-rearing, cultures also affect individuals' cognitive development, world views and explanatory models of emotional distress. It is critical that clinicians are aware of the role of culture in defining sexual dysfunction and how cultural factors can be used in initiating treatment as well as in therapeutic engagement and alliance. Although epidemiological data on prevalence of sexual dysfunction across cultures are scanty, it is likely that prevalences vary, as will pathways into care and patterns of help-seeking. In this article we discuss the potential impact of culture on sexual dysfunction, and issues that clinicians, whether in specialist or in general services, need to be aware of in assessing and treating patients who present with sexual dysfunction.

Multisensory experience for enhancing hotel guest experience

2019 ◽  
Vol 31 (11) ◽  
pp. 4313-4337 ◽  
Author(s):  
Minwoo Lee ◽  
Seonjeong (Ally) Lee ◽  
Yoon Koh
Keyword(s):  
Big Data ◽  
Customer Satisfaction ◽  
Business Intelligence ◽  
Critical Role ◽  
Big Data Analytics ◽  
Cognitive Effort ◽  
Content Type ◽  
The Relationship ◽  
Multisensory Experience

Purpose This study aims to investigate the effect of customers’ multisensory service experience on customer satisfaction with cognitive effort and affective evaluations using big data and business intelligence techniques. Design/methodology/approach Online customer reviews for all New York City hotels were collected from Tripadvisor.com and analyzed through business intelligence and big data analytics techniques including data mining, text analytics, sentiment analysis and regression analysis. Findings The current study identifies the relationship between affective evaluations (i.e. positive affect and negative affect) and customer satisfaction. Research findings also find the negative effect of reviewer’s cognitive effort on satisfaction rating. More importantly, this study demonstrates the moderating role of multisensory experience as an innovative marketing tool on the relationship between affect/cognitive evaluation and customer satisfaction in the hospitality setting. Originality/value This study is the first study to explore the critical role of sensory marketing on hotel guest experience in the context of hotel customer experience and service innovation, based on big data and business intelligence techniques.

scholarly journals The study of the effect of online review on purchase behavior

2020 ◽  
Vol 4 (1) ◽  
pp. 73-86 ◽  
Author(s):  
Jinghuan Zhang ◽  
Wenfeng Zheng ◽  
Shan Wang
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Online Reviews ◽  
Big Data Analysis ◽  
Influential Factors ◽  
Purchase Behavior ◽  
Behavioral Experiment ◽  
Content Type ◽  
Online Purchase ◽  
Network Big Data

Purpose The purpose of this paper is to explain the difference and connection between the network big data analysis technology and the psychological empirical research method. Design/methodology/approach This study analyzed the data from laboratory setting first, then the online sales data from Taobao.com to explore how the influential factors, such as online reviews (positive vs negative mainly), risk perception (higher vs lower) and product types (experiencing vs searching), interacted on the online purchase intention or online purchase behavior. Findings Compared with traditional research methods, such as questionnaire and behavioral experiment, network big data analysis has significant advantages in terms of sample size, data objectivity, timeliness and ecological validity. Originality/value Future study may consider the strategy of using complementary methods and combining both data-driven and theory-driven approaches in research design to provide suggestions for the development of e-commence in the era of big data.

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