Accompanying Patients Aged 65 or Over: How Companions’ Health Literacy Affects Value Co-Creation During Medical Encounters

2021 ◽  
pp. 089826432110291
Author(s):  
Ana-Belén del Río-Lanza ◽  
Leticia Suárez-Álvarez ◽  
Ana Suárez-Vázquez
Keyword(s):  
Health Literacy ◽  
Critical Literacy ◽  
Structural Equation ◽  
Critical Evaluation ◽  
Chronically Ill ◽  
Negative Influence ◽  
Positive Influence ◽  
Equation Modeling ◽  
Health Crisis ◽  
Chronically Ill Patients

Objectives: The recent health crisis has led to a tightening of visitor policies during medical consultations. This work studies the relationship between the companion’s health literacy (functional, interactive, and critical) and the companion’s co-creation of value (co-production and value in use). Methods: Six hypotheses are tested by means of a sample of companions of chronically ill patients over the age of 65, using structural equation modeling. Results: Functional literacy does not predict the co-creation of value through either of its dimensions (co-production and value in use). Interactive literacy has a positive influence on co-production and a negative influence on value in use. Critical literacy only positively influences value in use. Discussion: Merely understanding the health information is not sufficient for the companion to be recognized as a collaborator or “ally” of the doctor. It is necessary to encourage the companion’s communication and critical evaluation skills.

scholarly journals Structural Equation Model into Interaction Mechanism between Forest Industry and Ecology with Environmental Mediator Introduced

2016 ◽  
Author(s):  
Bing Liao ◽  
Zhiguang Zhang ◽  
Chunxiang Liu ◽  
Yuanzheng Wu
Keyword(s):  
Structural Equation ◽  
Interaction Mechanism ◽  
Negative Influence ◽  
Positive Influence ◽  
Equation Model ◽  
Equation Modeling ◽  
Forest Industry ◽  
Ecological Security ◽  
Environmental Capacity ◽  
Mediating Role

By introducing environmental mediator, for avoiding randomness in selecting indicators and subjectivity in deciding interaction path coefficients to reveal interaction mechanism among forest industry, ecology and environmental capacity, structural Pressure–State–Impact–Response (PSIR) and quantitative Structural Equation Modeling (SEM) are utilized with data on thirty–one provinces of China. We can find that: (i) forest industry has a negative influence on ecology, whereas ecology has a positive influence on industry; (ii) the destructive influence that industry has on ecology is much greater than the positive effect ecology has on industry; and (iii) environmental capacity plays a partial mediating role between industry and ecology. According to these results we can conclude that: (i) forest industry and ecology are not in a symbiotic relationship and have not reached a level of ecological security; (ii) the interaction between industry and ecology is in a period of transition from antagonistic to beneficial; and (iii) industry dominates ecology. However, we prospect the following advice: (i) methods of forest industry should be changed; (ii) new modes of industrial integration and circular economy should be developed; and (iii) the ability of the environment to sustain itself should be enhanced. The level of forest ecological security to discuss the symbiotic mechanism of industry and ecology will propose to be measured in future.

scholarly journals Identifikasi Karakter yang Berpengaruh terhadap Hasil Biji Beras Kopi Arabika di Kabupaten Garut Menggunakan Analisis Lintasan Bertahap

2014 ◽  
Vol 1 (3) ◽  
pp. 175
Author(s):  
Enny Randriani ◽  
Dani Dani ◽  
Indah Sulistiyorini ◽  
Edi Wardiana
Keyword(s):  
Path Analysis ◽  
Structural Equation ◽  
Negative Influence ◽  
Positive Influence ◽  
Green Bean ◽  
Equation Modeling ◽  
Survey Method ◽  
West Java ◽  
Arabica Coffee ◽  
Bean Yield

<p>Keterkaitan antara karakter vegetatif, komponen buah, komponen biji, dan hasil biji beras pada tanaman kopi merupakan hal penting dalam program pemuliaan dan seleksi. Model saling keterkaitan antar karakter tersebut adalah model sebab-akibat dan dapat dianalisis melalui analisis lintasan bertahap (ALB). Penelitian bertujuan mengidentifikasi karakter-karakter yang berpengaruh terhadap hasil biji beras kopi Arabika di daerah Garut, Jawa Barat melalui penggunaan analisis lintasan bertahap (ALB) dan model persamaan struktural (MPS). Penelitian dilaksanakan di Desa Marga Mulya, Kecamatan Cikajang, Kabupaten Garut, Jawa Barat, bulan Januari sampai Desember 2013 pada ketinggian tempat 1.300 m di atas permukaan laut dengan jenis tanah Andosol. Penelitian menggunakan metode survei dengan pengambilan contoh secara acak terhadap lima genotipe kopi Arabika, yaitu ABP-1, ABP-2, ABP-3, AGK-1, dan S 795. Hasil penelitian menunjukkan terdapat tiga karakter yang berpengaruh positif secara langsung, yaitu jumlah ruas pada batang, tebal buah, dan bobot 100 biji gabah. Karakter panjang cabang primer berpengaruh positif secara tidak langsung, sedangkan karakter jumlah cabang sekunder dan jumlah ruas cabang primer berpengaruh negatif secara tidak langsung. Karakter-karakter tersebut dapat digunakan sebagai kriteria seleksi pada populasi kopi Arabika di daerah Garut, Jawa Barat.</p><p>Kata kunci: Kopi Arabika, seleksi karakter, analisis lintasan bertahap, model persamaan struktural</p><p>The linkage between the vegetative characters, fruit components, production seeds component and rice seeds of the coffee plant is important in breeding and selection programs. Models of interrelations between these characters are causal models and can be analyzed through sequential path analysis (SPA). The objective of this study was to identify of several characters affecting on green bean yield of Arabica coffee in Garut, West Java by using sequential path analysis (SPA) and structural equation modeling (SEM). This research was conducted in the Marga Mulya Village, Cikajang District, Garut Regency, West Java, with altitude about 1300 m above sea level and Andosol type of soil, starting from January to December 2013. The research was conducted in survey method with random sampling method on the Arabica coffee genotypes such as ABP-1, ABP-2, ABP-3, AGK-1, and S795. The results showed that there are three characters having directly positive effect on green bean yield: number of internodes on stem, fruits thickness, and weight of 100 beans. On the other hand, length of primary branches has indirectly positive influence, while number of secondary branches and number of internodes on primary branches has indirectly negative influence. These characters can be used as selection criteria on the population of Arabica coffee in Garut, West Java.</p><p> </p>

scholarly journals MODAL INTELEKTUAL DAN KINERJA KEUANGAN : KEUNGGULAN BERSAING SEBAGAI VARIABEL INTERVENING

2021 ◽  
Vol 2 (2) ◽  
pp. 239-258
Author(s):  
Muhammad Fahri Azmi ◽  
Yusralaini Yusralaini ◽  
Rofika Rofika
Keyword(s):  
Financial Performance ◽  
Competitive Advantage ◽  
Financial Services ◽  
Structural Equation ◽  
Negative Influence ◽  
Positive Influence ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Positive Effect

This study aims to see the effect of VACA, VAHU, STVA, and VAIC on financial performance and competitive advantage, as well as the role of competitive advantage in mediating the effect of VACA, VAHU, STVA, and VAIC on financial performance. The population in this study is Islamic commercial banks registered with the financial services authority in 2016-2018. The sample of this research was selected by sampling criteria. Hypothesis testing used in this research is Structural Equation Modeling with Partial Least Square (SEM-PLS) approach and the statistical test tool used is WarpPLS 7.0. The results of this study indicate that VACA has a positive influence on financial performance, VAHU has a negative influence on financial performance while STVA and VAIC do not affect financial performance. Furthermore, this study found that VACA, STVA, and VAIC had a positive effect on competitive advantage and competitive advantage also has a positive effect on financial performance. This research also found that, while VAHU did not affect the competitive advantage that competitive advantage plays a role in mediating the effect of VACA and VAIC on financial performance, whereas competitive advantage does not mediate the effect of VAHU and STVA on financial performance.

The Mediating Role of Job Embeddedness Between Internal Marketing and Turnover Intention

2011 ◽  
Vol 2 (4) ◽  
pp. 38-53
Author(s):  
Mona Mohamed Sayed Ibrahim
Keyword(s):  
Turnover Intention ◽  
Structural Equation ◽  
Job Embeddedness ◽  
Negative Influence ◽  
Positive Influence ◽  
Internal Marketing ◽  
Equation Modeling ◽  
Work Related ◽  
Mediating Role ◽  
Telecommunication Companies

This study contributes to the stream of research on job embeddedness and internal marketing. Greater attention needs to be paid to understand the mechanisms and processes through which internal marketing influences work-related attitudes such as turnover intention in order to develop complete understanding of the effect of internal marketing on job embeddedness. This study fills this research gap using a sample of respondents employed by telecommunication companies in Egypt. The author examines whether job embeddedness mediated the effects of internal marketing on turnover intention. Results from Structural Equation Modeling (SEM) showed that job embeddedness fully mediates the relationship between internal marketing and turnover intention. Results also support that internal marketing has obviously positive influence on job embeddedness and a clearly negative influence on turnover intention; finally, internal marketing has direct and indirect influences on turnover intention through job embeddedness. Implications for research and practice of the findings are discussed.

scholarly journals Which Aspects of Food Value Promote Consumer Purchase Intent after a Disaster? A Case Study of Salmon Products in Disaster-Affected Areas of the Great East Japan Earthquake

Foods ◽  
2019 ◽  
Vol 8 (1) ◽  
pp. 14 ◽  
Author(s):  
Takashi Suzuki ◽  
Taro Oishi ◽  
Hisashi Kurokura ◽  
Nobuyuki Yagi
Keyword(s):  
Structural Equation ◽  
Negative Influence ◽  
Positive Influence ◽  
Great East Japan Earthquake ◽  
Sales Promotion ◽  
Social Value ◽  
Equation Modeling ◽  
Purchase Intent ◽  
Transfer Strategies ◽  
Food Value

This research examined post-disaster consumer perception of food value and their effects on purchase intent by focusing on Japanese seafood industry after the Great East Japan earthquake. Online surveys on consumers living in Tokyo and Osaka Prefectures were conducted to investigate consumer value perceptions of Miyagi salmon in 2012 and 2015. Multiple-group structural equation modeling (SEM) on the 2012 survey results showed that desire to contribute to restoration (social value) had the greatest positive influence on purchase intent in both regions. Concern about radiation threats (safety value) had a negative influence on purchase intent, with a stronger impact in Osaka than Tokyo. In comparison, the 2015 results revealed a reduction in the effects of these two potent factors (i.e., safety value and social value) on purchase intent only in Osaka. The beneficial value of seafood had a general positive influence on purchase intent, but its magnitude of effect differed by regional and chronological context. Among these three values, sales promotion with emphasis on social value is more effective than with other values. In cases of future disasters in a similar context, marketers are recommended to adopt different value transfer strategies according to geographical and temporal diversity.

scholarly journals PENGARUH STRUKTUR KEPEMILIKAN SAHAM, KEBIJAKAN DIVIDEN DAN KEBIJAKAN HUTANG TERHADAP NILAI PERUSAHAAN (Studi Pada Perusahaan Yang Terdaftar di BEI)

ETIKONOMI ◽  
2015 ◽  
Vol 13 (2) ◽  
Author(s):  
Herni Ali ◽  
Miftahurrohman Miftahurrohman
Keyword(s):  
Ownership Structure ◽  
Structural Equation ◽  
Dividend Policy ◽  
Stock Exchange ◽  
Negative Influence ◽  
Positive Influence ◽  
Equation Modeling ◽  
The Impact ◽  
Debt Policy ◽  
Significant Positive Influence

The main objective of this study is to examine the impact of ownership structure, dividend policy, debt policy on the value of the firms in Indonesian Stock Exchange. Data used in this research is financial data in the form  financial statements of public companies listed in Indonesian Stock Exchange. The statistical method used to test the hypothesis is Structural Equation Modeling (SEM) analysis. The results of this study  shown that: ownership structure has a significant positive influence to dividend policy. Ownership structure significant negative influence to debt policy. Ownership structure have no influence to value of the firms. Dividend policy significant negative influence to debt policy. Dividend policy have no influence to value of the firms. Debt policy significant positive influence to value of the firms.DOI: 10.15408/etk.v13i2.1883

scholarly journals Analysis of The Influence of Motivation, Environment, and Work Stress on Employee Performance Through Job Satisfaction As Intervening Variable (Case Study Of PT. XYZ)

2020 ◽  
Vol 2 (1) ◽  
pp. 43-50
Author(s):  
Kukuh Eska Yanuar ◽  
Suparto Suparto
Keyword(s):  
Job Satisfaction ◽  
Structural Equation Modeling ◽  
Significant Influence ◽  
Structural Equation ◽  
Employee Performance ◽  
Negative Influence ◽  
Positive Influence ◽  
Equation Modeling ◽  
Environment Stress

PT. XYZ is a company engaged in construction specifically steel fabrication. The problem encountered by company was frequent overtimes with low remuneration but cannot meet production target. The objective of study was to know the influence of motivation, environment,stress on employee performance through job satisfaction as intervening variable. The method used was Structural Equation Modeling with IBS SPSS AMOS software. The results of study indicated that motivation had positive influence of 0.229, environment had positive influence of 2.746, and stress had significant influence of 0.139 on job satisfaction. Motivation had positive influence of 0.910, environment had positive influence of 2.526, and stress had negative influence of -0.221 on employee performance. Motivation had positive influence of 0.093, environment had positive influence of 1.120, and stress had positive and significant influence of 0.056 on employee performance through job satisfaction as intervening variable. Job satisfaction had positive influence of 0.408 on employee performance.Keywords: motivation, environment, stress, structural, equation, modeling

The Mediating Role of Job Embeddedness between Internal Marketing and Turnover Intention

2013 ◽  
pp. 310-327 ◽  
Author(s):  
Mona Mohamed Sayed Ibrahim
Keyword(s):  
Turnover Intention ◽  
Structural Equation ◽  
Job Embeddedness ◽  
Negative Influence ◽  
Positive Influence ◽  
Internal Marketing ◽  
Equation Modeling ◽  
Work Related ◽  
Mediating Role ◽  
Telecommunication Companies

This study contributes to the stream of research on job embeddedness and internal marketing. Greater attention needs to be paid to understand the mechanisms and processes through which internal marketing influences work-related attitudes such as turnover intention in order to develop complete understanding of the effect of internal marketing on job embeddedness. This study fills this research gap using a sample of respondents employed by telecommunication companies in Egypt. The author examines whether job embeddedness mediated the effects of internal marketing on turnover intention. Results from Structural Equation Modeling (SEM) showed that job embeddedness fully mediates the relationship between internal marketing and turnover intention. Results also support that internal marketing has obviously positive influence on job embeddedness and a clearly negative influence on turnover intention; finally, internal marketing has direct and indirect influences on turnover intention through job embeddedness. Implications for research and practice of the findings are discussed.

The Influence of Career Adaptability and Career Commitment to Minimize Intention to Leave Among ICT Professionals

2020 ◽  
Vol 11 (2) ◽  
pp. 23-38
Author(s):  
Safiah Omar ◽  
Farzana Parveen Tajudeen
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Career Commitment ◽  
Intention To Leave ◽  
Negative Influence ◽  
Positive Influence ◽  
Equation Modeling ◽  
Career Adaptability ◽  
The Relationship

This research measures career adaptability among Malaysian ICT professionals using career adapt-abilities scale (CAAS). Career adaptability were analyzed for direct relationships with career commitment and intention to leave. Career commitment was also tested as mediator between career adaptability and intention to leave. Samples consist of 393 ICT professionals and data was analyzed using structural equation modeling (SEM). The results showed that career adaptability has positive influence on career commitment and negative influence on intention to leave. Career commitment was negatively related to intention to leave and it mediates the relationship between career adaptability and intention to leave. In conclusions, intention to leave among Malaysian ICT professionals are due to their career adaptability and career commitment.

scholarly journals Intellectual Capital, Technological Innovation and Firm Performance: Evidence from China’s Manufacturing Sector

2019 ◽  
Vol 11 (19) ◽  
pp. 5328 ◽  
Author(s):  
Xu ◽  
Shang ◽  
Yu ◽  
Liu
Keyword(s):  
Firm Performance ◽  
Technological Innovation ◽  
Intellectual Capital ◽  
Structural Equation ◽  
Negative Impact ◽  
Positive Impact ◽  
Manufacturing Sector ◽  
Negative Influence ◽  
Positive Influence ◽  
Equation Modeling

Intellectual capital (IC) is considered to be a main driver of organizational success in the knowledge economy. This study examines the impacts of three IC components, including human capital (HC), structural capital (SC), and relational capital (RC), on technological innovation and firm performance. Data are collected from 1112 manufacturing listed companies in China during 2013–17. Using partial least squares structural equation modeling (PLS-SEM), the results show that HC and SC exert a positive impact on firm performance while RC has a negative impact; SC has a positive influence on technological innovation while HC has a negative influence; technological innovation can enhance the firm’s performance. In addition, technological innovation partially mediates the relationship between SC and firm performance. This study will bridge the gap in research by investigating the impacts of IC components on technological innovation and firm performance in developing countries.

Sign in / Sign up

Export Citation Format

Share Document