Trait and State Components of Perceived Parental Differential Treatment in Middle Adulthood

2010 ◽  
Vol 31 (3) ◽  
pp. 158-165 ◽  
Author(s):  
Thomas Boll ◽  
Tom Michels ◽  
Dieter Ferring ◽  
Sigrun-Heide Filipp
Keyword(s):  
Structural Equation ◽  
Differential Treatment ◽  
Three Dimensions ◽  
Equation Modeling ◽  
Middle Adulthood ◽  
Parental Differential Treatment ◽  
Trait Theory ◽  
Trait Variance ◽  
Parental Recognition ◽  
Middle Aged Adults

Despite its importance for basic and applied psychology, only a few longitudinal studies have examined whether parental differential treatment (PDT) is a persistent or a transient phenomenon, these studies being confined to childhood or adolescence. Based on latent state-trait theory, the present study identified the amount of variance in three dimensions of perceived PDT in middle adulthood attributable to stable interindividual differences (trait variance) and to intraindividual changes (state variance). At two occasions of measurement (2 years apart), 709 middle-aged adults rated how often they and a sibling currently received parental recognition, nurture, and demand to assume filial responsibility. Tests of latent state-trait models for these three dimensions of PDT by structural equation modeling revealed that trait variance represented the largest proportion of the systematic variance in all observed indicators of perceived maternal and paternal differential treatment. Yet there was a considerable increase in state variance for the dimension of differential parental demand for assuming responsibility. Results are discussed with respect to the conditions accounting for the high overall stability of actual and/or perceived PDT in adulthood, and different approaches for determining their role are proposed.

Transforming people practices by re-structuring job engagement practices for generation z: An empirical study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Deepika Pandita ◽  
Amresh Kumar
Keyword(s):  
Organizational Support ◽  
Structural Equation ◽  
Reliability And Validity ◽  
Three Dimensions ◽  
Equation Modeling ◽  
Job Engagement ◽  
Content Type ◽  
Perceived Supervisor Support ◽  
Engagement Strategies ◽  
The Individual

Purpose This paper aims to develop the readers’ understanding of the transforming role of job engagement (JOB) drivers, specifically for Gen Z in information technology (IT) Companies across India. It measures the association of JOB and perceived organizational support (POS), perceived supervisor support (PSS) and co-worker relationship (COP) with a very special reference to Gen Z. Design/methodology/approach A total of 302 survey-based responses were collected. To test the conceptualized model of JOB, structural equation modeling was used. Confirmatory factor analysis was conducted using the AMOS platform toward determining the reliability and validity of the individual constructs and the overall model. Findings All three dimensions, namely, POS, PSS and COP, are positively related to JOB. Out of the three, the most contributing extent in engaging Gen Z is PSS. Research limitations/implications A conceptual framework of Gen Z engagement drivers could help human resource (HR) researchers fine-tune Gen Z employees’ retention strategy. The paper shows that it is not about pandering to them but about eliminating blocks so that Gen Z can deliver the future business. Practical implications The outcomes may aid establishments and policymakers in advancing and improving HRs policies in engaging Gen Z, who have started entering the organizations. Originality/value JOB practices can add to the determinations of the HRs processes in the IT start-ups organizations in dealing with Gen Z. This research reconnoiters the drivers of engagement strategies directly impacting JOB Gen Z.

Age-Related Effects on Interoceptive Accuracy, General Interoceptive Sensibility, and Specific Interoceptive Sensibility

2020 ◽  
Vol 27 (4) ◽  
pp. 154-170 ◽  
Author(s):  
L. Nusser ◽  
O. Pollatos ◽  
D. Zimprich
Keyword(s):  
Structural Equation ◽  
Empirical Support ◽  
Self Report ◽  
Three Dimensions ◽  
Equation Modeling ◽  
Adult Lifespan ◽  
Age Related ◽  
Physical Diseases ◽  
Interoceptive Accuracy ◽  
Subjective Belief

Abstract. Background: The current research into interoception distinguishes between interoceptive accuracy (IAcc), the accurate detection of internal sensations (e.g., heartbeats) as measured by performance on objective IAcc tasks, and interoceptive sensibility (IS), the subjective belief concerning one’s own experience of internal sensations as measured either through self-report questionnaires or through one’s confidence in the accuracy during an IAcc task. Aims: As the two measures of IS, however, are usually uncorrelated and show differential relationships to IAcc, we suggest different types of IS, a general IS and a specific IS. Further, based on a growing body of research linking IAcc and IS to physical and mental diseases, the development of interoception across the adult lifespan is of importance. Methods: Using Structural Equation Modeling the present paper investigates the relationships among IAcc assessed by a heartbeat counting task, and the two proposed dimensions of IS in 138 participants ( Mage = 42.67, SDage = 18.77). Furthermore, we examine age-related differences in IAcc, as well as in general and specific IS. Results: In terms of the relationship between the three dimensions, general and specific IS were weakly correlated and exhibited different relationships to IAcc. Further, we found different age effects on the three interoceptive dimensions. Whereas IAcc decreased with age, specific IS tend to increase with age, and general IS remained unaffected by age. Conclusion: The findings provide further empirical support for a dissociation between general and specific IS and raised important questions concerning the relation between interoceptive accuracy and the emergence of physical diseases in older age.

scholarly journals Management by Walking Around as an Approach to Improving Organizational Excellence in Media Institutions: الإدارة بالتجوال كمدخل لتحسين التميّز المؤسسي في المؤسسات الإعلامية

2020 ◽  
Vol 4 (4) ◽  
Author(s):  
Omar Durrah, Mohammed Osman Eltigani, Moaz Gharib, Souzan Ha
Keyword(s):  
Structural Equation ◽  
Sampling Technique ◽  
Simple Random Sampling ◽  
Three Dimensions ◽  
Equation Modeling ◽  
Supportive Environment ◽  
Organizational Excellence ◽  
Media Institutions ◽  
Directorate General ◽  
Management By Walking Around

The current study investigates the extent of the contribution of five facets of management by walking around (MBWA) — discovering facts, communication, motivation, creativity, and feedback — to improving organizational excellence in media institutions in the Sultanate of Oman. Especially as these institutions suffer from a lack of communication and interaction between their management and their employees. The descriptive analytical approach was used in this study. Using a simple random sampling technique, data were collected using a questionnaire from 260 respondents working as administrative staff in three media institutions: The Directorate General of Media, the Omani News Office in Dhofar Governorate, and the General Authority for Radio and Television. To test the study hypotheses, the data were analyzed using Structural Equation Modeling (SEM) by AMOS software. The results revealed that, of the five facets investigated, three dimensions of MBWA (namely discovering facts, communication, and feedback) have a positive and significant impact on organizational excellence, while motivation and creativity do not appear to affect organizational excellence. This study, therefore recommends working to create a supportive environment for applying MBWA in media institutions and educating managers in these media institutions on the importance of MBWA through workshops, training courses, and conferences to reach excellence in these institutions.

scholarly journals Enhancing the Innovation Performance of Small and Medium-Sized Enterprises Through Network Embeddedness

2020 ◽  
Vol 12 (3) ◽  
pp. 156-171
Author(s):  
Wisdom Wise Kwabla Pomegbe ◽  
Wenyuan Li ◽  
Courage Simon Kofi Dogbe ◽  
Charles Oduro Acheampong Otoo
Keyword(s):  
Structural Equation ◽  
Sampling Technique ◽  
Innovation Performance ◽  
Three Dimensions ◽  
Equation Modeling ◽  
External Resources ◽  
Goods And Services ◽  
Network Embeddedness ◽  
The Rich ◽  
Positive Effect

Based on Resource Based Theory (RBT), the competitiveness of Small and Medium-sized Enterprises (SMEs) depends on the uniqueness of resources used in the production and delivering of goods and services. Moreover, the innovation capability of SMEs is critical in enhancing their uniqueness. Various factors, however, could potentially influence SME innovation performance. This present study thus focuses on how SME innovation performance could be enhanced through the three dimensions of network embeddedness (relational, structural and cognitive). Founded on Resource Dependency Theory (RDT), the study seeks to demonstrate how SMEs could tap into the rich external resources within the networks they are embedded in. The study was based on 388 SMEs selected using a purposive sampling technique. A structured questionnaire was used for the data collection, with the data analyzed by structural equation modeling performed in Amos (v.20). The findings revealed that relational, structural and cognitive embeddedness had a positive effect on innovation performance, while structural embeddedness had the greatest impact on SME innovation performance. As such, SMEs seeking to improve their innovation performance through networks should pay critical attention to the network tie and density. Past studies on network embeddedness and innovation performance have shown conflicting results, and therefore this present study makes a notable contribution to the ongoing debate. Past studies have indicated a positive, negative, inverted u-shape, and even no significant relationship at all between the various dimensions of network embeddedness and innovation performance.

scholarly journals Reconceptualizing the Hierarchical Service Quality Model: The Case of Agritourism Events

2020 ◽  
Vol 24 (2) ◽  
pp. 389-407
Author(s):  
Liang Rebecca Tang ◽  
Jessica Hurst ◽  
Linda Niehm ◽  
Ann Marie Fiore ◽  
Amy Dorie ◽  
...  
Keyword(s):  
Rural Communities ◽  
Service Quality ◽  
Structural Equation ◽  
Three Dimensions ◽  
Equation Modeling ◽  
Future Research ◽  
Outcome Quality ◽  
Experience Economy ◽  
Quality Model ◽  
Revisit Intentions

To enhance the success of agritourism events and festivals, identified as important contributors to economic development in rural communities, this study investigated factors leading to revisit intentions toward these tourism activities. Taking an experience economy approach, the 4Es (educational, entertainment, escapist, and esthetic experiences) were used as alternative measures of outcome quality as part of a 4E-based reconceptualized hierarchical service quality model (HSQM). Data were collected from 529 respondents at three agritourism events in the state of Iowa. Structural equation modeling (SEM) revealed that overall service quality was comprised of all three dimensions of HSQM (interaction quality, physical environment quality, and outcome quality as indicated by the 4Es) and overall service quality was shown to be an antecedent of visitor satisfaction, which consequently led to revisit intention. Additionally, SEM results demonstrated the suitability of the hypothesized 4E-based HSQM model to explain the variance in overall service quality at agritourism events. Thus, this study provides an innovative theoretical foundation for future research investigating service quality, and suggests strategies that marketers can use to effectively enhance experiential offerings for visitors at agritourism events.

Exploring stickiness intention of B2C online shopping malls

2018 ◽  
Vol 14 (2) ◽  
pp. 177-192 ◽  
Author(s):  
Zheshi Bao ◽  
Taozhen Huang
Keyword(s):  
Structural Equation ◽  
Information Quality ◽  
Online Shopping ◽  
Three Dimensions ◽  
Equation Modeling ◽  
Flow Experience ◽  
Shopping Malls ◽  
Mediation Effects ◽  
Content Type ◽  
Online Consumers

Purpose The purpose of this paper is to explore the roles of flow experience and e-trust in online consumers’ stickiness intentions from a perspective of information quality and discuss how to retain these consumers. Design/methodology/approach The authors proposed a research model by integrating three dimensions of information quality, flow experience and e-trust. These factors were analyzed to explore the direct and indirect effects on consumers’ stickiness intention. Online questionnaires were adopted to collect data and 259 valid samples were analyzed by structural equation modeling approach. Findings The findings show that information quality provided by B2C online shopping malls can indirectly affect consumers’ stickiness intention through the mediation effects of flow experience and e-trust. Besides, flow experience can also significantly affect e-trust and then indirectly influence stickiness intention. Research limitations/implications The findings suggest that information quality can trigger the effects of flow experience and e-trust to keep stickiness of online consumers. Besides, in the context of online shopping, flow experience would promote consumers’ trust toward e-retailers. Some other theoretical and practical implications are also provided. Originality/value This study indicates the effects of flow experience and e-trust on stickiness intention from an information quality perspective. Meanwhile, the authors also intend to discuss the relationship between consumers’ flow experience and e-trust in the context of B2C online shopping.

Influence research of multi-dimensional tech-innovation behavior on tech-innovation performance

2016 ◽  
Vol 8 (2) ◽  
pp. 148-160 ◽  
Author(s):  
Fu-li Zhou ◽  
Xu Wang ◽  
Yun Lin ◽  
Yan-dong He ◽  
Nan Wu
Keyword(s):  
Economic Performance ◽  
Environmental Performance ◽  
Structural Equation ◽  
Structured Interview ◽  
Innovation Performance ◽  
Three Dimensions ◽  
Equation Modeling ◽  
Innovation Activity ◽  
Content Type ◽  
Innovation Behavior

Purpose The purpose of this study is to investigate the research on the influence of tech-innovation behavior on tech-innovation performance for Chinese manufacturing enterprises. Environmental performance has been taken into consideration with the green manufacturing and sustainability philosophy being a hotspot. Design/methodology/approach To verify the hypotheses and assumptions, a questionnaire was designed and a semi-structured interview was conducted for data collection. In addition, structural equation modeling (SEM) is applied to verify the influence model through assessing the fitting indexes based on the 317 questionnaire responses in the form of Likert-type scale. Findings Tech-innovation behavior and activity from direction, mode and investment behavior dimensions show their different positive influences on tech-innovation performance. This paper has creatively taken environmental tech-innovation performance into consideration, as well as economic performance. This investigation has provided the interpretation for each individual enterprise from three dimensions when conducting tech-innovation activity. Research limitations/implications Tech-innovation behavior, which has been a subject of extended discussion during recent decades, is the effective activity or action for tech-innovation. However, there have not been any studies on the environmental performance influence study, as well as the economic performance from these three dimensions and framework. Practical implications As this paper discusses the tech-innovation performance influence study from three dimensions, individual enterprises can choose the corresponding action for the proper tech-innovation path, especially for small- and medium-sized enterprises. Originality/value This study helps managers recognize tech-innovation activities for better tech-innovation performance based on the empirical study.

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.

Determinants of Customer Loyalty Dimensions

2021 ◽  
Vol 19 (1) ◽  
pp. 1-23
Author(s):  
Doddahulugappa Goutam ◽  
Gopalakrishna B. V. ◽  
Shirshendu Ganguli
Keyword(s):  
Service Quality ◽  
Customer Loyalty ◽  
Structural Equation ◽  
Three Dimensions ◽  
Equation Modeling ◽  
Survey Method ◽  
Substantial Impact ◽  
Factors Influencing ◽  
Positive Effect ◽  
Email Survey

This study aims to explore the factors influencing attitudinal, affective, as well as cognitive loyalties. Theoretical framework was developed by integrating the e-service quality, e-satisfaction, e-loyalty (the three dimensions), e-commitment, and e-trust. Nine hundred thirty-seven valid replies were collected from internet shoppers through using email survey method. Exploratory factor analysis as well as Structural equation modeling was accomplished to examine the anticipated model by using SPSS-V23 and AMOS-V23. Results confirm that e-service quality has an influence on satisfaction, trust, and commitment. The authors have considered e-satisfaction, e-trust, and e-commitment as mediating variables between e-service quality and e-loyalty dimensions and tested for it as well. E-satisfaction has a substantial impact on e-trust and trust acts as a mediator between satisfaction and attitudinal, affective, and cognitive loyalty. Further, e-trust has an influence on commitment and commitment acts as a mediator between trust and attitudinal, affective, and cognitive loyalty. Moreover, commitment has a positive effect on attitudinal and cognitive loyalty but does not have any impact on affective loyalty.

Sign in / Sign up

Export Citation Format

Share Document