scholarly journals Maternal Influences on Asian American—Pacific Islander Adolescents’ Perceived Maternal Sexual Expectations and Their Sexual Initiation

2009 ◽  
Vol 31 (3) ◽  
pp. 381-406 ◽  
Author(s):  
Tsui-Sui Annie Kao ◽  
Carol Loveland-Cherry ◽  
Barbara Guthrie
Keyword(s):  
Asian American ◽  
Structural Equation ◽  
Pacific Islander ◽  
Secondary Analysis ◽  
Add Health ◽  
Health Data ◽  
Sexual Initiation ◽  
Equation Modeling ◽  
Data Set ◽  
Maternal Influences

Maternal influences on adolescents’ sexual initiation have been examined over two time points in 433 Asian American—Pacific Islander (AAPI) adolescents in a secondary analysis of the Add Health data set using structural equation modeling. A longitudinal model built on a preliminary qualitative study is used to examine the fit between data and model. Maternal perceived connectedness and adolescents’ perceived maternal sexual expectations in sexual timing are found to be protective for delaying AAPI adolescents’ sexual initiation. Unexpectedly, mothers’ perceptions of sexual discussion are not protective for delaying adolescents’ sexual initiation. The results suggest interventions should focus on promoting AAPI mothers’ perceptions of connectedness with their adolescents and adolescents’ perceptions of their mothers’ sexual expectations (as measured by adolescents’ perceived maternal disapproval attitudes and affects) in delaying sexual initiation.

Childhood Intelligence Predicts Adult Trait Openness

2016 ◽  
Vol 37 (2) ◽  
pp. 105-111 ◽  
Author(s):  
Adrian Furnham ◽  
Helen Cheng
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Social Background ◽  
Study Data ◽  
Equation Modeling ◽  
Direct Effects ◽  
Data Set ◽  
National Child Development Study ◽  
Nationally Representative ◽  
The Uk

Abstract. This study used a longitudinal data set of 5,672 adults followed for 50 years to determine the factors that influence adult trait Openness-to-Experience. In a large, nationally representative sample in the UK (the National Child Development Study), data were collected at birth, in childhood (age 11), adolescence (age 16), and adulthood (ages 33, 42, and 50) to examine the effects of family social background, childhood intelligence, school motivation during adolescence, education, and occupation on the personality trait Openness assessed at age 50 years. Structural equation modeling showed that parental social status, childhood intelligence, school motivation, education, and occupation all had modest, but direct, effects on trait Openness, among which childhood intelligence was the strongest predictor. Gender was not significantly associated with trait Openness. Limitations and implications of the study are discussed.

From managing customers to joint venturing with customers: co-creating service value in the digital age

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Christine Falkenreck ◽  
Ralf Wagner
Keyword(s):  
Perceived Risk ◽  
Structural Equation ◽  
Business Models ◽  
Joint Venture ◽  
Digital Age ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Data Set ◽  
Content Type

Purpose Until today, scholars claim that the phenomenon of “co-creation” of value in an “interacted” economy and in the context of positive actor-to-actor relationships has not been adequately explored. This study aims to first to identify and separate the accessible values of internet of things (IoT)-based business models for business-to-business (B2B) and business-to-government (B2G) customer groups. It quantifies the drivers to successfully implement disruptive business models. Design/methodology/approach Data were gathered from 292 customers in Western Europe. The conceptual framework was tested using partial least square structural equation modeling. Findings Managing disruptions in the digital age is closely related to the fact that the existing trust in buyer-seller relationships is not enough to accept IoT projects. A company’s digitalization capabilities, satisfaction with the existing relationship and trust in the IoT credibility of the manufacturer drives the perceived value of IoT-based business models in B2B settings. Contrastingly, in B2G settings, money is less important. Research limitations/implications Research refers to one business field, the data set is of European origin only. Findings indicate that the drivers to engage in IoT-related projects differ significantly between the customer groups and therefore require different marketing management strategies. Saving time today is more important to B2G buyers than saving money. Practical implications The disparate nature of B2B and B2G buyers indicates that market segmentation and targeted marketing must be considered before joint-venturing in IoT business models. To joint venture supply chain partners co-creating value in the context of IoT-related business models, relationship management should be focused with buyers on the same footing, as active players and co-developers of a personalized experience in digital service projects. Originality/value Diverging from established studies focusing on the relationship within a network of actors, this study defines disruptive business models and identifies its drivers in B2B and B2G relationships. This study proposes joint venturing with B2B and B2G customers to overcome the perceived risk of these IoT-related business models. Including customers in platforms and networks may lead to the co-creation of value in joint IoT projects.

scholarly journals The reasoned action approach applied to health behavior: Role of past behavior and test of some key moderators using meta-analytic structural equation modeling

2018 ◽  
Author(s):  
Martin S Hagger ◽  
Juho Polet ◽  
Taru Lintunen
Keyword(s):  
Structural Equation Modeling ◽  
Health Behavior ◽  
Indirect Effects ◽  
Structural Equation ◽  
Social Cognitive ◽  
Reasoned Action ◽  
Equation Modeling ◽  
Reasoned Action Approach ◽  
Data Set ◽  
Past Behavior

Rationale: The reasoned action approach (RAA) is a social cognitive model that outlines the determinants of intentional behavior. Primary and meta-analytic studies support RAA predictions in multiple health behaviors. However, including past behavior as a predictor in the RAA may attenuate model effects. Direct effects of past behavior on behavior may reflect non-conscious processes while indirect effects of past behavior through social cognitive variables may represent reasoned processes. Objective: The present study extended a previous meta-analysis of the RAA by including effects of past behavior. The analysis also tested effects of candidate moderators of model predictions: behavioral frequency, behavior type, and measurement lag.Method: We augmented a previous meta-analytic data set with correlations between model constructs and past behavior. We tested RAA models that included and excluded past behavior using meta-analytic structural equation modeling and compared the effects. Separate models were estimated in studies on high and low frequency behaviors, studies on different types of behavior, and studies with longer and shorter measurement lag.Results: Including past behavior attenuated model effects, particularly the direct effect of intentions on behavior, and indirect effects of experiential attitudes, descriptive norms, and capacity on behavior through intentions. Moderator analyses revealed larger intention-behavior and past behavior-behavior effects in high frequency studies, but the differences were not significant. No other notable moderator effects were observed.Conclusion: Findings indicate a prominent role for habitual processes in determining health behavior and inclusion of past behavior in RAA tests is important to yield precise estimates of model effects.

Emotional exhaustion as a mediator among workplace loneliness, work alienation and turnover intention

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Didem ÖZTÜRK ÇİFTCİ
Keyword(s):  
Emotional Exhaustion ◽  
Turnover Intention ◽  
Structural Equation ◽  
Shopping Mall ◽  
Equation Modeling ◽  
Data Set ◽  
Bootstrap Analysis ◽  
Content Type ◽  
Mediating Role ◽  
Work Alienation

PurposeThe purpose of this study is to determine the effect of loneliness and alienation in the workplace on the intention of leaving employment and whether emotional exhaustion has a mediating role in this effect.Design/methodology/approachThe hypotheses generated within the framework of the study model were evaluated by using the data set obtained from 402 survey participants working at nine shopping malls in the Central and Eastern Black Sea regions of Turkey and statistical analysis programs. In this context, the confirmatory factor analysis (CFA) was used to determine the validity of the scale and the structural equation modeling (SEM) was used to test the research hypotheses.FindingsThe study reveals that loneliness and alienation in the workplace have an effect on the intention of leaving employment and that this effect is fully mediated by emotional exhaustion. Whether this full mediating role determined by the SEM is meaningful or not was evaluated by Bootstrap analysis and the results revealed that the effect is meaningful.Practical implicationsDeveloping effective communication channels that will prevent the employee from feeling isolated at work and eliminating the pressure and inadequate physical working conditions created by unrealistic sales targets are recommended. In addition, it is thought that if employees are included in decision-making processes and have sufficient autonomy related to the job, work alienation can be prevented.Originality/valueThis research is important in terms of evaluating shopping centers, which are accepted as the symbol of consumption today, not only with their economic aspects but also with their employees. In this context, the research has revealed that shopping mall employees want to leave their jobs due to emotional exhaustion caused by loneliness and alienation at work.

Impact of business model innovations on SME’s innovativeness and performance

2019 ◽  
Vol 14 (4) ◽  
pp. 521-539 ◽  
Author(s):  
Rimantas Gatautis† ◽  
Egle Vaiciukynaite ◽  
Asta Tarute
Keyword(s):  
Business Model ◽  
Structural Equation ◽  
Positive Impact ◽  
Equation Modeling ◽  
Future Research ◽  
Data Set ◽  
Content Type ◽  
Innovation Activities ◽  
Organizational Inertia ◽  
Multiple Characteristics

Purpose Business model innovations (BMIs), their drivers and outcomes are attracting increasing attention in academic literature. However, previous studies have mainly focused on large companies, while knowledge of BMI in small-to-medium-sized enterprises (SMEs) is limited. Therefore, the purpose of this paper is to add new insights into how related BMI drivers, practices and outcomes are in relation to SMEs. Design/methodology/approach An extensive review of the existing literature was performed. Consequently, the relationships between BMI drivers, BMI practices and outcomes of BMI were developed as a conceptual framework. An empirical study was carried out. A structural equation modeling (SEM) procedure was used to empirically test the model using a quantitative data set of Lithuanian SMEs (n=73). Findings The study provides insights into the relations between BMI drivers, BMI practices and outcomes of BMI in SMEs. The findings of SEM, four drivers (innovation activities, strategic orientation, market and technology turbulence, respectively) are indicated to contribute to BMI of SMEs. In addition, the results proved that the implementation of BMI practices leads to strategic and architectural changes in firms and has a positive impact on SMEs performance and innovativeness. Research limitations/implications Empirical research is focused on a limited number of internal and external BMI drivers, which have an influence on BMI in SMEs from one geographical region. Consequently, there are many external and internal BMI drivers which also may have an influence on BMI in SMEs, such as industry life cycle, organizational inertia and leadership. Meanwhile, SMEs possess multiple characteristics, i.e. a phase of maturity, gender of CEO, firm size and industry; therefore, the aforesaid aspects are considered to be significant limitations. In addition, the importance of SMEs characteristics as mediators for the effects on a firm’s performance and innovativeness should be considered in future research avenues. Practical implications Findings of this research can be used by SME managers to better understand how firms might actively engage in BMI practices, what drivers lead to BMI and, in turn, affect their firm’s performance and innovativeness. SME managers should be encouraged to pay attention to strategic and architectural changes of BM that can contribute to enterprise performance and innovativeness. Originality/value This paper adds to the stream of BMI research by empirically exploring drivers and outcomes of BMI in SMEs. In addition, this paper fulfills research gaps proposed by Bouwman et al. (2018), Foss and Saebi (2017), Heikkilä, Bouwman and Heikkilä (2018) and Lambert and Davidson (2013), and enhances the current overall understanding of BMIs.

scholarly journals The Influence of Leader Encouragement of Creativity on Innovation Speed: Findings from SEM and fsQCA

2019 ◽  
Vol 11 (9) ◽  
pp. 2693 ◽  
Author(s):  
Cong Cheng ◽  
Liebing Cao ◽  
Huihui Zhong ◽  
Yining He ◽  
Jiahong Qian
Keyword(s):  
Structural Equation Modeling ◽  
Qualitative Analysis ◽  
Fuzzy Set ◽  
Creative Process ◽  
Structural Equation ◽  
Sem Analysis ◽  
Equation Modeling ◽  
Organizational Ambidexterity ◽  
Data Set ◽  
The Impact

Adopting the empowerment perspective of leadership, this study proposes and examines the mediating model that leader encouragement of creativity affects innovation speed through strengthening employees’ engagement in the creative process. Using a sample of 245 participants in China, the results from structural equation modeling (SEM) suggest that the impact of leader encouragement of creativity on innovation speed is significantly mediated by creative process engagement, and positively moderated by organizational ambidexterity at the same time. Additionally, the results from fuzzy-set comparative qualitative analysis (fsQCA) with the same data set reveal that the aforementioned factors have a holistic effect on enhancing innovation speed. The results of fsQCA reinforce and refine the findings of the SEM analysis concerning the limits and conditions for how leader encouragement of creativity affects innovation speed.

Reduction of tension effects on partner evaluation

2018 ◽  
Vol 36 (4) ◽  
pp. 425-439
Author(s):  
Ossi Pesämaa ◽  
Peter Dahlin ◽  
Christina Öberg
Keyword(s):  
Structural Equation ◽  
Negative Impact ◽  
Equation Modeling ◽  
Negative Effects ◽  
Data Set ◽  
Content Type ◽  
Business Partners ◽  
Positive Side ◽  
Tension Management ◽  
Business To Business

Purpose The purpose of this paper is to examine how tension management as a means of achieving compromise and overcoming minor conflicts reduces the effects of the opportunism and bargaining costs of relationships on the evaluation of business partners. The paper proposes and tests a theoretical model with a full-information approach using structural equation modeling. Design/methodology/approach The data set was based on 312 observations from a unique survey based on a business-to-business relationship sample in Sweden. The measurements reflect the effects of partner opportunism, bargaining costs, and tension management on partner evaluations. Findings The findings corroborate that partner opportunism and bargaining costs have a negative impact on partner evaluation. In addition, the model shows that tension management weakens the negative effects of opportunism and bargaining costs on the evaluation. Originality/value This study offers evidence on how negative effects are reduced through intervening constructs. With most studies focusing on the positive side of relationships, this paper makes an important contribution to the literature through not only describing negative effects, but also how these can be decreased.

A Comparison of Accuracy Based on Data Imputation between Unconstrained Structural Equation Modeling and Weighted Least Squares Regression

2011 ◽  
Vol 130-134 ◽  
pp. 730-733
Author(s):  
Narong Phothi ◽  
Somchai Prakancharoen
Keyword(s):  
Structural Equation Modeling ◽  
Least Squares ◽  
Structural Equation ◽  
Weighted Least Squares ◽  
Equation Modeling ◽  
Data Imputation ◽  
Least Squares Regression ◽  
Waveform Generator ◽  
Data Set ◽  
Testing Group

This research proposed a comparison of accuracy based on data imputation between unconstrained structural equation modeling (Uncon-SEM) and weighted least squares (WLS) regression. This model is developed by University of California, Irvine (UCI) and measured using the mean magnitude of relative error (MMRE). Experimental data set is created using the waveform generator that contained 21 indicators (1,200 samples) and divided into two groups (1,000 for training and 200 for testing groups). In fact, training group was analyzed by three main factors (F1, F2, and F3) for creating the models. The result of the experiment show MMRE of Uncon-SEM method based on the testing group is 34.29% (accuracy is 65.71%). In contrast, WLS method produces MMRE for testing group is 55.54% (accuracy is 44.46%). So, Uncon-SEM is high accuracy and MMRE than WLS method that is 21.25%.

Effect of board characteristics on firm value: evidence from India

2018 ◽  
Vol 7 (1) ◽  
pp. 41-72 ◽  
Author(s):  
Rakesh Kumar Mishra ◽  
Sheeba Kapil
Keyword(s):  
Corporate Governance ◽  
Firm Performance ◽  
Firm Value ◽  
Structural Equation ◽  
Corporate Performance ◽  
Equation Modeling ◽  
Significant Positive Association ◽  
Data Set ◽  
Content Type ◽  
Board Characteristics

Purpose The purpose of this paper is to explore the relationship of board characteristics and firm performance for Indian companies. Design/methodology/approach Corporate governance structures of 391 Indian companies out of CNX 500 companies listed on National Stock Exchange have been studied for their impact on performance of companies. Structural equation modeling methodology has been employed on data for five financial years from 2010 to 2014 for selected companies. Market-based measure (Tobin’s Q) and accounting-based measure (return on asset) have been employed for measuring firm performance. Findings Empirical findings indicate that there is significant positive association between board size and firm performance. Board independence is found significantly related to firm performance. Number of board meetings is found to be sending positive signal to the market creating firm value. Separation of CEO and chairman of the board is found to be value creating and overburdened directors affect firm performance adversely. Findings also suggest that the governance-performance relationship is also dependent upon the type of performance measures used in the study. Research limitations/implications Limitations of this study are in terms of data methodology and possible omission of some variables. It is understood that the qualitative dynamics happening inside board meetings impact corporate performance. The strategic decisions-making process adopted by the boards to fight competition or to increase market share is not available in public domain easily. The decision-making processes and monitoring for implementation of these decisions could impact corporate governance-performance relationship. These parameters and their impact on corporate performance are not covered under the scope of the present study. However, the same could have thrown more light on governance-performance relationship. Originality/value The paper adds to the emerging body of literature on corporate governance-performance relationship in the Indian context using a reasonably wider and newer data set.

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