How curiosity and uncertainty shape children’s information seeking behaviors

2016 ◽  
Vol 34 (3) ◽  
pp. 549-564 ◽  
Author(s):  
Ko-Chiu Wu ◽  
Hung-Chun Chen
Keyword(s):  
Working Memory ◽  
Information Seeking ◽  
Latent Variables ◽  
Structural Equation ◽  
Three Dimensional ◽  
Verbal Working Memory ◽  
Equation Modeling ◽  
Content Type ◽  
Visualization Technology ◽  
High Level

Purpose The purpose of this paper is to explore whether children adopt a survey or a route approach when seeking information in a virtual world (VW), and whether their approach differs depending on whether they are experiencing positive or negative motivation. Different models were used based on disparate spatial recognition and conceptual abilities. Design/methodology/approach In total, 127 children operated a three-dimensional VW interface then they filled out a questionnaire. Structural equation modeling was employed to analyze weighted relationships among latent variables. Motivation (positive vs negative), information-seeking model (heuristic survey or detailed route) and the spatial markers, and complexity of patterns of the VW were examined. Findings The authors discovered that a highly motivated child tends to take a central route in the process of information seeking, whereas a child experiencing negative emotions and uncertainty prefers a survey approach using spatial markers to obtain information. In short, the type of motivation influences whether children adopt a heuristic or detailed perspective when searching for information on virtual interfaces. Originality/value It is believed that users combine perceptual activities (low-level cognition) with conceptual activities (high-level cognition) in order to save energy. Yet this study is the first to investigate the conditions under which children are prone to utilize spatial markers (based on visual working memory) or the sequencing of patterns (based on verbal working memory) to find information in a heuristic or detailed fashion. This study provides a fresh perspective regarding perceptual and conceptual integration for information visualization technology.

How do working memory, general anxiety and math anxiety affect female students’ math performance?

2020 ◽  
Author(s):  
Nachshon Korem ◽  
Orly Rubinsten
Keyword(s):  
Working Memory ◽  
Latent Variables ◽  
Math Anxiety ◽  
Verbal Working Memory ◽  
Math Performance ◽  
Equation Modeling ◽  
Current Evidence ◽  
Unique Contribution ◽  
Shared Variance ◽  
Numeric Information

Current evidence suggests that math anxiety and working memory govern math performance. However, these conclusions are largely based on simple correlations, without considering these variables as a network or examining correlations at the latent variables level. Thus, questions remain regarding the role of the unique and shared variance between math anxiety, working memory and math performance. The purpose of the current study was to (i) uncover the underlying relationships between the variables to understand the unique contribution of each element to the network; (ii) measure the shared variance and identify the interactions between affect and cognition that control math performance. Our analytical approach involved both network analysis approach and structural equation modeling, with a sample of 116 female students.Results show that math anxiety and working memory affect math performance by different mechanisms. Only working memory tests that included numeric information were correlated to math anxiety. Each of the various working memory tasks correlated differently to math performance: working memory as a single latent variable was a better predictor of math performance than visuospatial and verbal working memory as two separate latent variables. Overall, both working memory and math anxiety affect math performance. Working memory tasks that include numeric information can affect performance in math anxious individuals.

Going through the motions

2016 ◽  
Vol 4 (2) ◽  
pp. 149-175 ◽  
Author(s):  
Annamaria Kubovcikova
Keyword(s):  
Internal Consistency ◽  
Structural Equation ◽  
Three Dimensional ◽  
Equation Modeling ◽  
Content Type ◽  
Multiple Indicators ◽  
Concept Definition ◽  
Confirmatory Factor ◽  
Reflective Measurement ◽  
Stability And Consistency

Purpose – The purpose of this paper is to test the properties of the well-known three-dimensional adjustment scale, established by Black et al. (1988, 1989), namely, its dimensionality and internal consistency. The theoretical basis of the construct is discussed in relation to formative and reflective measurement approaches. Design/methodology/approach – Two different ways of organizing the adjustment items (random/non-random) were used to assess the internal consistency of the three-dimensional adjustment scale. The quantitative analysis presented is based on survey data from 468 assigned expatriates in Asia that were subjected to an exploratory and confirmatory factor analysis as well as a structural equation modeling – more specifically the multiple indicators multiple causes model (MIMIC). Findings – The study revealed that the adjustment construct is possibly misspecified, especially the general adjustment dimension, that was tested as a formative, not a reflective scale. There is further evidence that the wrong measurement approach skewed the coefficient that connects adjustment to performance, which is the key construct in its nomological network. Moreover, the dimensionality and the internal consistency of the scale are deteriorated to a large extent by randomization of the items. The findings highlight the need for a clear concept definition that would lead to an appropriate operationalization of the construct. Originality/value – The study is one of the few rigorously testing the properties of a construct that has been used for almost 30 years, thus yielding some novel conclusions about its stability and consistency.

Customer centricity and guanxi prevalence as social capital: a study of international business relationships

2018 ◽  
Vol 33 (8) ◽  
pp. 1209-1220 ◽  
Author(s):  
Angeline Close Scheinbaum ◽  
Stephen W. Wang
Keyword(s):  
Structural Equation ◽  
Equation Modeling ◽  
Global Business ◽  
Global Marketing ◽  
Logistics Industry ◽  
Content Type ◽  
Global Logistics ◽  
High Level ◽  
Customer Centricity

Purpose This research blends perspectives of the Eastern phenomenon of guanxi with the more Western perspectives of relationship marketing and customer centricity. Extending scholarship on guanxi in marketing (e.g. Park and Luo, 2001; Sheu and Hu, 2009; Luo et al., 2008; Fowler and Reisenwitz, 2014), the objective is to highlight the indirect role of customer centricity (i.e. how visible or central it is for the business partner to communicate with/have information sharing with), for firms in regions with a prevalence of guanxi. Design/methodology/approach The empirical model is tested in context of global marketing in the business-to-business (B2B) logistics industry (n = 508). A total of 508 global logistics employees and managers with experience in global business participated in the survey in Taiwan. Structural equation modeling was used for data analysis with multi-group analyses. Findings Customer centricity intensifies positive outcomes of guanxi prevalence. Specifically, a high level of customer centricity strengthens established associations among guanxi prevalence, trust, relationship commitment and firm performance. Originality/value While most work on guanxi has a focus in China, this research focuses on Taiwan. While building on a wealth of literature, relatively less work has focused on customer centricity.

scholarly journals Do mistakes acceptance foster innovation? Polish and US cross-country study of tacit knowledge sharing in IT

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Wioleta Kucharska
Keyword(s):  
Critical Thinking ◽  
Tacit Knowledge ◽  
Risk Taking ◽  
Structural Equation ◽  
Equation Modeling ◽  
Learning Climate ◽  
It Industry ◽  
Content Type ◽  
The Usa ◽  
High Level

Purpose This study aims to understand and compare how the mechanism of innovative processes in the information technology (IT) industry – the most innovative industry worldwide – is shaped in Poland and the USA in terms of tacit knowledge awareness and sharing driven by a culture of knowledge and learning, composed of a learning climate and mistake acceptance. Design/methodology/approach Study samples were drawn from the IT industry in Poland (n = 350) and the USA (n = 370) and analyzed using the structural equation modeling method. Findings True learning derives from mistake acceptance. As a result of a risk-taking attitude and critical thinking, the IT industry in the USA is consistently innovation-oriented. Specifically, external innovations are highly correlated with internal innovations. Moreover, a knowledge culture supports a learning culture via a learning climate. A learning climate is an important facilitator for learning from mistakes. Originality/value This study revealed that a high level of mistake acceptance stimulates a risk-taking attitude that offers a high level of tacit knowledge awareness as a result of critical thinking, but critical thinking without readiness to take a risk is useless for tacit knowledge capturing.

Reciprocity and commitment in online travel communities

2019 ◽  
Vol 119 (2) ◽  
pp. 397-411 ◽  
Author(s):  
Daniel Belanche ◽  
Luis V. Casaló ◽  
Carlos Flavián ◽  
Miguel Guinalíu
Keyword(s):  
Social Exchange ◽  
Structural Equation ◽  
Social Exchange Theory ◽  
Active Participation ◽  
Equation Modeling ◽  
Relational Capital ◽  
Content Type ◽  
High Level ◽  
Online Travel

PurposeWith social exchange theory as a basis, the purpose of this paper is to seek a better understanding of advice processes in online travel communities, which offer crucial advice for travelers’ decisions. It also predicts that relational capital variables (commitment, reciprocity perceptions) moderate the main relationships.Design/methodology/approachData from a web survey of 456 users of online travel communities affirm the scale’s validity and provide the input for structural equation modeling and multisample analyses of the hypotheses.FindingsHigher levels of commitment reinforce the effect of following past advice on passive and active participation intentions. Users’ perceptions of reciprocity in the community strengthen the influence of following past advice on active participation. However, a high level of reciprocity causes users following past advice to reduce their intentions to continue following that advice.Practical implicationsManagement tactics should specify active and passive participation in online travel communities. Specifically, to encourage the creation of high-quality new content, community managers should create interactive environments marked by high levels of reciprocity and commitment.Originality/valueThis research elucidates the role of relational capital variables in advice processes and advances understanding of online travel communities.

A structural equation model for big data adoption in the healthcare supply chain

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dindayal Agrawal ◽  
Jitender Madaan
Keyword(s):  
Factor Analysis ◽  
Big Data ◽  
Supply Chain ◽  
Latent Variables ◽  
Structural Equation ◽  
Equation Model ◽  
Equation Modeling ◽  
Data Governance ◽  
Social Perspective ◽  
Content Type

PurposeThe purpose of this study is to examine the barriers to the implementation of big data (BD) in the healthcare supply chain (HSC).Design/methodology/approachFirst, the barriers concerning BD adoption in the HSC were found by conducting a detailed literature survey and with the expert's opinion. Then the exploratory factor analysis (EFA) was employed to categorize the barriers. The obtained results are verified using the confirmatory factor analysis (CFA). Structural equation modeling (SEM) analysis gives the path diagram representing the interrelationship between latent variables and observed variables.FindingsThe segregation of 13 barriers into three categories, namely “data governance perspective,” “technological and expertise perspective,” and “organizational and social perspective,” is performed using EFA. Three hypotheses are tested, and all are accepted. It can be concluded that the “data governance perspective” is positively related to “technological and expertise perspective” and “organizational and social perspective” factors. Also, the “technological and expertise perspective” is positively related to “organizational and social perspective.”Research limitations/implicationsIn literature, very few studies have been performed on finding the barriers to BD adoption in the HSC. The systematic methodology and statistical verification applied in this study empowers the healthcare organizations and policymakers in further decision-making.Originality/valueThis paper is first of its kind to adopt an approach to classify barriers to BD implementation in the HSC into three distinct perspectives.

Exploring the nexus of social media influencers and consumer brand engagement

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Man Lai Cheung ◽  
Wilson K.S. Leung ◽  
Morgan X. Yang ◽  
Kian Yeik Koay ◽  
Man Kit Chang
Keyword(s):  
Social Media ◽  
Social Interaction ◽  
Information Seeking ◽  
Structural Equation ◽  
Motivational Factors ◽  
Three Dimensions ◽  
Equation Modeling ◽  
Consumer Engagement ◽  
Content Type ◽  
The Impact

PurposeGrounded in uses and gratification theory (UGT) and observational learning theory (OLT), this study aims to understand the impact of motivational factors on consumer-influencer engagement behaviors (CIEBs). Motivating factors, including entertainment, information seeking, reward and social interaction, are regarded as antecedents of consumers' OLT, as manifested by CIEB dimensions, including consumption, contribution and creation, and subsequently drive consumer engagement with the endorsed brands.Design/methodology/approachA self-administered questionnaire was distributed to Malaysian social media users. A total of 263 responses were collected and analyzed using partial least squares structural equation modeling (PLS-SEM) to examine the impact of motivational factors on CIEBs.FindingsThe results show that the three dimensions of CIEBs can be predicted by different gratifications (information seeking, entertainment, reward and interaction). In addition, two of the CIEB dimensions, consumption and contribution, were found to have a significant positive influence on consumers' engagement with endorsed brands.Practical implicationsThis study provides insights into how social media influencers (SMIs) could lead to CIEBs by creating entertaining and rewarding content that facilitates social interaction between consumers. SMIs and marketers that encourage consumers to browse, comment and share SMI-created posts will enhance consumer engagement with the endorsed brands, as engagement is driven by the consumption and contribution to SMI-created content.Originality/valueSMI marketing is increasing, and many brands are beginning to rely more on SMIs to promote brands. Yet, there is a dearth of studies that have examined how SMIs play a role in affecting consumers' engagement with endorsed brands. This study contributes to the marketing literature by developing and empirically testing the research model. Results suggest that social interaction, reward and entertainment are key motivational factors that drive CIEBs, which, in turn, foster consumer engagement with endorsed brands.

Barriers to radical innovation in research institutions in China

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jianhua Yang ◽  
Rafif Al-Sayed
Keyword(s):  
Theoretical Model ◽  
Latent Variables ◽  
Structural Equation ◽  
Business Models ◽  
Research Collaboration ◽  
Statistical Significance ◽  
Radical Innovation ◽  
Equation Modeling ◽  
Research Institutions ◽  
Content Type

Purpose This study aims to develop a better understanding of radical innovation performance and proposes a comprehensive and theoretical model of the barriers impeding radical innovation from the perspective of researchers working in research institutions in China. Both quantitative and qualitative techniques were used to test the hypotheses regarding barriers to radical innovation and the model proposed in this research. Design/methodology/approach The data was collected through questionnaires and semi-structured interviews with researchers from different research institutions across several cities in China. Next, the data was analyzed by deploying the structural equation modeling technique and calculating the statistical significance of correlations, regression and path coefficients among the latent variables. Findings The results indicated the major barriers impeding radical innovation in Chinese research institutes. Based on these findings, suggested policies, regulations and business models are put forward that can promote radical innovation in these institutes through increasing research freedom, enhancing organizational flexibility, attracting talented researchers and expanding research collaboration. Originality/value The research proposes a comprehensive and theoretical model of the barriers impeding radical innovation from the perspective of researchers working in research institutions in China.

Trust factors for organic foods: consumer buying behavior

2019 ◽  
Vol 122 (2) ◽  
pp. 414-431 ◽  
Author(s):  
Tsung Hung Lee ◽  
Chung-Jen Fu ◽  
Yin Yuan Chen
Keyword(s):  
Latent Variables ◽  
Structural Equation ◽  
Organic Food ◽  
Equation Modeling ◽  
Small Scale ◽  
Buying Behavior ◽  
Organic Foods ◽  
Behavior Theory ◽  
Content Type ◽  
Trust Factors

Purpose The purpose of this paper is to assess the relationship between trust factors and buying behavior among consumers in the organic food market in Taiwan. Design/methodology/approach The researchers developed a questionnaire using latent variables including the trust factors, utilitarian attitudes, hedonic attitudes, buying behavior and demographic information of consumers of organic foods. Confirmatory factor analysis and the structural equation modeling were conducted using LISREL 8.80 for Windows. Findings The empirical results indicated that health content, locally produced products, organic food labels and price premiums positively and significantly affected utilitarian and hedonic attitudes. Both utilitarian attitudes and hedonic attitudes positively and significantly affected respondents’ buying behavior. A series of theoretical implications were identified. Practical implications The researchers concluded that providing consumers with practical information related to organic food, establishing local production facilities, developing content, standardizing labeling procedures and promoting a new organic certification system for small-scale producers will encourage more consumers to purchase organic food. Originality/value This study first examines the food trust buying behavior of organic foods and related consumption behavior theory questions. It mainly takes the stimulus–organism–response model as the foundation of its approach. Simultaneously, it also conforms to utilitarian behavior theory, and the process by which consumers become better aware of organic foods’ quality.

scholarly journals Converting hotels website visitors into buyers

2019 ◽  
Vol 33 (1) ◽  
pp. 129-159
Author(s):  
Gomaa M. Agag ◽  
Mohamed A. Khashan ◽  
Nazan Colmekcioglu ◽  
Ahmed Almamy ◽  
Nawaf S. Alharbi ◽  
...  
Keyword(s):  
Information Seeking ◽  
Structural Equation ◽  
Perceived Value ◽  
Online Reviews ◽  
Equation Modeling ◽  
Cross Culture ◽  
Content Type ◽  
Two Samples ◽  
Hotel Websites

Purpose Despite the increasing utilization of webpages for the purposes of information seeking, customers’ concerns have become a crucial impediment for online shopping. The purpose of this paper is to examine the influence of the effectiveness of web assurance seals services (WASS) and customers’ concerns on customer’s willingness to book hotels through perceived website trust and perceived value. Design/methodology/approach A questionnaire was administrated to measure the study variables. Using partial least squares–structural equation modeling approach to analyze the data collected from 860 users of online hotel websites. Findings The results indicate that WASS influence positively on perceived website trust and negatively on consumers’ concerns. As well as, perceived value and trust play a mediating role in the link between WASS and consumers’ concerns and their intentions. Finally, perceived website trust and perceived value have greater effect on intention to book hotel for low-habit consumers. Research limitations/implications This study ignored the cross-culture issue as it concentrates on the customers from developing countries, so further research may need to compare between two or more than two samples from different societies that could give a significant insights. Second, this study stresses on the WASS to predict customers booking intentions that indicates significant results, so further research may need to examine the role of online reviews as a predictor of customers purchase decision as well. Originality/value To the authors’ best knowledge, this is the first empirical research that investigates and examines the influence of the effectiveness of WASS and consumers’ concerns on consumers’ intentions through perceived value and trust. This research also investigates the moderating role of habit in the link between perceived website, perceived value and consumers’ intentions.

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