Job Quality, Innovation and Employment – a Structural Equation Modeling on Regional Level

2019 ◽  
Vol 5 (1) ◽  
pp. 54-65
Author(s):  
Andrei Moroc ◽  
Octavian Bărnuțiu
Keyword(s):  
Structural Equation ◽  
Social Indicators ◽  
Structural Equations ◽  
Job Quality ◽  
Equation Modeling ◽  
Innovation Activities ◽  
Intellectual Assets ◽  
The Impact ◽  
The Relationship

Job quality (JQ) covers the aspects that contribute to wellbeing through the impact on material living conditions or quality of life at work. The research aims to evaluate the relationship between the quality of jobs, in combination with the dimensions of innovation and other economic and social indicators, on the performance of the labor market. The analysis is carried out at the level of 193 NUTS 1, 2 and 3 territorial administrative regions. Job quality is estimated based on the results of Eurofound’s sixth Working Conditions Survey 2015 (EWCS), which outlines some defining features of job quality. In the relationship between JQ and the growth of employment, we also introduced influences of innovation activities concerning the human resources involved, the financial support for research or the creation of collaborative networks between innovators, as well as intellectual assets in the form of patents applications, trademarks or design. The results of our structural equations modeling reveal an intense and positive causal relationship between the intellectual output (intellectual assets) and specific attributes of the job quality, especially regarding job prospects, skills and discretion, and the increase in the rate of employment.

Stand by me: analyzing the tourist–intelligent voice assistant relationship quality

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sandra Maria Correia Loureiro ◽  
Arnold Japutra ◽  
Sebastian Molinillo ◽  
Ricardo Godinho Bilro
Keyword(s):  
Relationship Quality ◽  
Social Exchange ◽  
Structural Equation ◽  
Perceived Value ◽  
Self Esteem ◽  
Equation Modeling ◽  
Content Type ◽  
The Impact ◽  
The Relationship

Purpose This paper aims to explore tourist perceived value and attachment to intelligent voice assistants (IVAs) as antecedents of the quality of the human–IVA relationship in the hospitality domain. This research also examines the moderating role of psychological factors (self-esteem) and knowledge factors (past experience and technology expertise) in the relationships between antecedents and relationship quality. Design/methodology/approach The researchers conducted two quantitative studies, collecting data via online surveys in Mechanical Turk (n1 = 124 and n2 = 281). The proposed model was tested using partial least squares structural equation modeling. Findings The first study uncovers that tourist perceived value is the main influence on the quality of the relationship between tourists and IVAs. The second study confirms the direct relationships of the first and shows that self-esteem and technology expertise act as moderators. Practical implications This study advances the understanding of the tourism and hospitality stakeholders in using modern technologies (e.g. IVAs). Through comprehending the relationship building between individuals and IVAs, the stakeholders will be able to craft better strategies. Originality/value The study extends the attachment and social exchange theories to the tourist–IVA relationship context. Specifically, this research demonstrates the impact of tourist perceived value on the quality of the relationship with the IVA. It also points out that tourists’ self-esteem and technology expertise can weaken the tourist–IVA relationship.

scholarly journals Determine the relationship between the effective factors in preventing accidents by using structural equation modeling of steel industry

2020 ◽  
Author(s):  
Reza Gholamnia ◽  
Mohsen Barzegar
Keyword(s):  
Human Factors ◽  
Safety Culture ◽  
Steel Industry ◽  
Structural Equation ◽  
Structural Equations ◽  
Equation Modeling ◽  
Effective Factors ◽  
Main Factors ◽  
The Impact ◽  
The Relationship

Introduction: The purpose of this study was to determine the relationship between six main factors affecting prevention of accidents using structural equations. Method: Initially, most previous studies were investigated and the most effective factors in preventing accidents and their relationship with each other were determined using the structural equations.  Later, a questionnaire was administered to investigate the accident victims of a steel industry in Yazd during five years. In the last stage, the data were examined by Smart-PLS software. Results: By examining the numerical results, six main factors included about 58% of the share of accident prevention factors. At the 95% confidence level, the impact of safety culture (0.31), rules and instructions (0.29), training (0.28), engineering (0.24), human factors (0.31), as well as capital and equipment (0.38) factors were calculated. Moreover, the remaining 42% included unknown factors in the industry. Conclusion: We found that economic, safety culture, and human factors had the highest effects.

scholarly journals Usage of Public Financial Support Services, Entrepreneurial Orientation and Sme Performance: the Case of Malaysia

2021 ◽  
Vol 17 (4) ◽  
pp. 12-26
Author(s):  
Mohd Nor Hakimin Bin Yusoff ◽  
Fakhrul Anwar Zainol ◽  
Mohamad Ismail ◽  
Jati Kasuma ◽  
Dio Caisar Darma
Keyword(s):  
Support Services ◽  
Entrepreneurial Orientation ◽  
Financial Support ◽  
Structural Equation ◽  
Equation Modeling ◽  
Quality Of Services ◽  
The Government ◽  
The Impact ◽  
The Relationship

Abstract SMEs have received much recognition as they continue to be the backbone in the development and economic growth of nations. This study intended to investigate how the entrepreneurial orientation moderates the relationship between the utilization of the financial support services and the firm’s performance. This study used Structural Equation Modeling to evaluate the impact of financial support services on SME performance. The sample for this study involved SMEs in Malaysia. The result indicates that financial support services significantly associated with the firms’ performance and entrepreneurial orientation failed to influence significantly the relationship between the usage of the services and the performance. The findings of this study could be useful for the government business support services providers to enhance further the quality of services and will provide an understanding of how effectively the characteristics of SMEs related to entrepreneurial orientation would help increase the effectiveness of the support services.

KONFLIK DAN KINERJA KARYAWAN

2018 ◽  
Vol 3 (3) ◽  
pp. 431-440
Author(s):  
Santi Retno Sari
Keyword(s):  
Leadership Style ◽  
Structural Equation ◽  
Employee Performance ◽  
Equation Modeling ◽  
Managerial Practices ◽  
Research Findings ◽  
Job Levels ◽  
The Impact ◽  
The Relationship ◽  
Practical Implications

The purpose of this paper is to examine the relationships to which leadership style (task and relations oriented leadership) moderate the impact of conflict on employee performance. Data were collected from 92 employees in different job levels. Partial least squares variance-based structural equation modeling (PLS-SEM) was used to test the relationship in the models. The results showed that task and relation conflict was associated with employee performance. The research findings also showed that leadership styles moderated the relationship between conflict and employee performance. This study offers implications for managerial practices. Practical implications and suggestions described in the paper Keywords: leadership style, conflict, performance.

The Impact of Self-Stigma, Role Strain, and Diabetes Distress on Quality of Life and Glycemic Control in Women With Diabetes: A 6-Month Prospective Study

2021 ◽  
pp. 109980042110096
Author(s):  
Ruey-Hsia Wang ◽  
Chia-Chin Lin ◽  
Shi-Yu Chen ◽  
Hui-Chun Hsu ◽  
Chiu-Ling Huang
Keyword(s):  
Quality Of Life ◽  
Glycemic Control ◽  
Prospective Study ◽  
Structural Equation ◽  
Role Strain ◽  
Diabetes Distress ◽  
Equation Modeling ◽  
Disease Characteristics ◽  
The Impact

Purposes: Women with diabetes (WD) are more severely impacted by the consequence of suboptimal diabetes control. This study aims to examine the impact of demographic and disease characteristics, baseline self-stigma, role strain, diabetes distress on Hemoglobin A1C (A1C) levels, quality of life (D-QoL) and 6-month A1C levels in younger WD. Methods: This study was a 6-month prospective study. In total, 193 WD aged 20–64 years were selected by convenience sampling from three outpatient clinics in Taiwan. Demographic and disease characteristics, self-stigma, role strain, diabetes distress, A1C levels, and D-QoL were collected at baseline. A1C levels were further collected 6 months later. Structural equation modeling was conducted to test the hypothesized model. Results: The final model supported that higher baseline D-QoL directly associated with lower concurrent A1C levels and indirectly associated with lower 6-month A1C levels through baseline A1C levels. Higher baseline self-stigma, role strain, and diabetes distress directly associated with lower baseline D-QoL, and indirectly associated with higher 6-month A1C levels through D-QoL. Conclusion: Improving self-stigma, role strain, and diabetes distress should be considered as promising strategies to improve D-QoL in young WD. D-QoL plays a mediation role between baseline self-stigma, role strain, diabetes distress and subsequent glycemic control in younger WD. Enhancing baseline D-QoL is fundamental to improve subsequent glycemic control.

scholarly journals The Relationship of CSR Communication on Social Media with Consumer Purchase Intention and Brand Admiration

2021 ◽  
Vol 16 (5) ◽  
pp. 1217-1230
Author(s):  
Shuchi Gupta ◽  
Nishad Nawaz ◽  
Adel Abdulmhsen Alfalah ◽  
Rana Tahir Naveed ◽  
Saqib Muneer ◽  
...  
Keyword(s):  
Social Media ◽  
Purchase Intention ◽  
Structural Equation ◽  
Mediating Effect ◽  
Equation Modeling ◽  
Csr Communication ◽  
Consumer Purchase Intention ◽  
Relationship Of ◽  
The Impact ◽  
The Relationship

With the advent of the Internet and other digital technologies, contemporary businesses from all sectors are using social media for communication with consumers to engage them meaningfully with a brand. However, the use of social media for corporate social responsibility (CSR) communication is relatively new to the existing literature. Likewise, the impact of CSR communication through social media (CSR-S) on consumer emotions and behavior is, to date, underexplored. To address this, the present research aims to test the relationship of CSR-S on brand admiration and consumer purchase intention. The study proposes a direct relationship between CSR-S and purchase intention with a mediating effect of brand admiration. The data were collected from the banking consumers of Pakistan through a self-administered questionnaire. The authors distributed 800 questionnaires and received 463 questionnaires useful for data analysis, so the present research study response rate was around 59%. The data were analyzed using the structural equation modeling (SEM) technique in AMOS. The results revealed that CSR-S is positively related to purchase intention (β = 0.233). The results further showed that brand admiration partially mediates this relationship (β = 0.079). The survey respondents confirmed that their bank’s CSR communication helps enhance their purchase likelihood and their feelings of admiration for their bank. These findings will help policymakers at banking institutions better understand the importance of CSR communication on different social media platforms to achieve consumer-related outcomes.

scholarly journals Sustainable Innovation in Small Medium Enterprises: The Impact of Knowledge Management on Organizational Innovation through a Mediation Analysis by Using SEM Approach

2020 ◽  
Vol 12 (6) ◽  
pp. 2407 ◽  
Author(s):  
Jaffar Abbas ◽  
Qingyu Zhang ◽  
Iftikhar Hussain ◽  
Sabahat Akram ◽  
Aneeqa Afaq ◽  
...  
Keyword(s):  
Knowledge Management ◽  
Organizational Learning ◽  
Structural Equation ◽  
Organizational Innovation ◽  
Garment Industry ◽  
Equation Modeling ◽  
Sustainable Innovation ◽  
Study Results ◽  
The Impact ◽  
The Relationship

This current study is among the very few investigations, which seeks the relationship between knowledge management and sustainable organizational innovation in garment business firms. This investigation focused on examining how organizational learning mediates the relationship between knowledge management and sustainable organizational innovation. This research establishes that knowledge management and organizational innovation procedures are integral parts of the progress and survival of the organizations. The received data of this population reports on the garment firms, operating their businesses in Lahore and Gujranwala. The study applied a stratified random sampling method for data collection and employed structural equation modeling (SEM) to examine the hypothesized relationships. The results specify that knowledge management shows a significant positive association with organizational learning, which in turn reveals a positive linkage to sustainable organizational innovation in SMEs of the garment industry. The study results also specify that organizational learning mediates the relationship between knowledge management and sustainable organizational innovation. This research survey identifies the significance of knowledge management and organizational learning in executing the process of organizational innovation, and it helps business managers to understand organizational learning as a mediator, which in turn indicates the benefits of knowledge management in achieving sustainable organizational innovation. This review provides an empirical indication of original data to investigate the linkage between knowledge management, sustainable innovation process, and organizational learning culture in the Pakistani garment sector. The generalizability of the study fallouts is restricted to the garment industry, and it offers valuable insights for imminent researchers.

Iranian Coaches Forgiveness and Relationship Quality to Their Athletes

2021 ◽  
pp. 1-8
Author(s):  
Hassan Gharayagh Zandi ◽  
Sahar Zarei ◽  
Mohammad Ali Besharat ◽  
Davoud Houminiyan sharif abadi ◽  
Ahmad Bagher Zadeh
Keyword(s):  
Relationship Quality ◽  
Structural Equation ◽  
Equation Modeling ◽  
Data Sets ◽  
Mediating Role ◽  
Interpersonal Behaviors ◽  
Key Factor ◽  
The Relationship

Coaching has often been viewed as a context within which coaches operate to largely bring about changes in athlete’s performance and flourishing. One key factor to successful outcomes in coaching is the quality of the relationship between coaches and athletes. The coach–athlete relationship is at the heart of coaching; however, limited studies have been conducted on its antecedents. The aim of this study was to investigate the relationship between coaches’ forgiveness and perceived relationship quality toward their athletes through verifying the mediating role of interpersonal behaviors of coaches. A total of 270 Iranian coaches participated in the survey, and the data sets were analyzed using structural equation modeling. Results revealed that forgiveness positively predicted the coaches’ perceived relationship quality with their athletes, and this pathway was mediated by the coaches’ interpersonal behaviors.

Antecedents of horizontal logistics collaboration in agri-food supply chains

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ismail Badraoui ◽  
Ivo van der Lans ◽  
Youssef Boulaksil ◽  
Jack G.A.J. van der Vorst
Keyword(s):  
Supply Chains ◽  
Food Supply ◽  
Structural Equation ◽  
The Body ◽  
Equation Modeling ◽  
Content Type ◽  
Operational Conditions ◽  
Food Supply Chains ◽  
The Impact ◽  
The Relationship

PurposeThis study investigates the impact of agri-food supply chains (AFSCs) characteristics on the antecedents of horizontal logistics collaboration (HLC). Specifically, the study compares the relationship between collaboration activities and outcomes for companies in and outside AFSCs.Design/methodology/approachFirst, a survey was used to collect data from different industries. Second, confirmatory factor analysis and structural equation modeling were applied to compare the measurement and structural models from different industry categories.FindingsThe results support the premise that collaboration improves trust and commitment in the relationship, which in turn enhance satisfaction. The results also show the existence of a minor influence of AFSCs characteristics on HLC antecedents, in the form of an indirect impact of dedicated investments on commitment.Practical implicationsThe factors having a significant influence on the collaboration outcomes and their respective effects are generally similar across food and nonfood supply chains, providing opportunities for interdisciplinary and collaboration experiences.Originality/valueThis research contributes to the body of knowledge on interfirm collaboration by considering the specificities of HLC. It also highlights the importance of conducting contingency research on collaborative experiences, as firms from different industry contexts operate under distinct operational conditions.

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