Understanding the impact of quality practices on firm performance: insights from a structural equation modeling study of young manufacturing enterprises in Tetouan, Morocco

More and more firms are adopting Web 2.0 technologies for different purposes. Despite some studies about the impact on different aspects of the organization of these technologies, few studies have empirically tested their effects. This study confirms that the there is a positive relationship between Web 2.0 adoption and Innovativeness and between Innovativeness and Business Performance. We can conclude that Innovativeness is a mediating variable between Web 2.0 and Firm Performance. The relationships were tested in a sample of 244 hospitality firms, using a structural modeling approach. The results are presented and discussed. In the last section of the article, the conclusions are discussed and finally, some future lines of research are suggested.

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Should I suggest this YouTube clip? The impact of UGC source credibility on eWOM and purchase intention

Journal of Research in Interactive Marketing ◽

10.1108/jrim-04-2020-0072 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Mazzini Muda ◽

Muhammad Iskandar Hamzah

Keyword(s):

Social Media ◽

Structural Equation Modeling ◽

Purchase Intention ◽

Structural Equation ◽

Word Of Mouth ◽

Source Credibility ◽

Equation Modeling ◽

Content Type ◽

The Social ◽

The Impact

PurposeIn spite of the increasing organic and interactive marketing activities over social media, a general understanding of the source credibility of voluntary user-generated content (UGC) is still limited. In line with the social identity theory, this paper examines the effects of consumers' perceived source credibility of UGC in YouTube videos on their attitudes and behavioral intentions. Additionally, source homophily theory is included to predict the antecedent of source credibility.Design/methodology/approachThree hundred and seventy two Generation Y respondents were interviewed using snowball sampling. Data were analyzed with component-based structural equation modeling technique of partial least squares-structural equation modeling (PLS-SEM).FindingsFindings confirmed that perceived source credibility indirectly affects purchase intention (PI) and electronic word-of-mouth via attitude toward UGC. Besides, perceived source credibility mediates the effect of perceived source homophily on attitude toward UGC.Practical implicationsSince today's consumers have begun to trust and rely more on UGC than company-generated content on social media when making purchase decisions, companies may reconsider democratizing certain aspects of their branding strategies. Firms may fine-tune their marketing communication budgets – not only just by sponsoring public figures and celebrities but also by nurturing coproductive engagements with independent content creators who are ordinary consumers. Endowed with their imposing credibility, these micro-influencers and prosumers have high potentials to be uplifted to brand ambassadors.Originality/valueWhile consumers' purchase outcome can be measured easily using metrics and analytics, the roles of source homophily in stages leading up to the purchase is still elusive. Drawing on the rich theoretical basis of source homophily may help researchers to understand not only how credibility and attitude are related to PI but also how this nexus generates positive word of mouth among UGC followers within the social media circles.

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Perilaku Pencarian Variasi: Ditinjau Dari Perspektif Psikologi Dan Imbasnya Pada Loyalitas Kesikapan Konsumen

Jurnal Manajemen Teori dan Terapan | Journal of Theory and Applied Management ◽

10.20473/jmtt.v1i1.2355 ◽

2008 ◽

Vol 1 (1) ◽

Author(s):

Iin Mayasari

Keyword(s):

Structural Equation Modeling ◽

Structural Equation ◽

Equation Modeling ◽

Hypotheses Testing ◽

Variety Seeking ◽

Attitudinal Loyalty ◽

Optimum Stimulation Level ◽

Stimulation Level ◽

Psychology Perspective ◽

The Impact

This study examines the model that explains the internal aspect as the stimulusi in influencing consumers to do variety seeking. The conceptual model is discussed by applying the psychology perspective of the optimum stimulation level and the impact on attitudinal loyalty. The number of questionnaires is 1100 exemplars and distributed to seven universities in Yogyakarta. However, the appropriate questionnaires to be further analyzed are 654 exemplars. The hypotheses testing uses the structural equation modeling.

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INTEGRATING THE IMPACT OF COUNTRY OF ORIGIN (COC) AND CONSUMER ETHNOCENTRISM (CE) ON GLOBAL MARKETING (GM) AND GROWING CONSUMER TRENDS (GCT) EVIDENCES FROM PHARMACEUTICAL INDUSTRIES IN INDONES

Journal of Management and Business Review ◽

10.34149/jmbr.v11i1.57 ◽

2017 ◽

Vol 11 (1) ◽

Author(s):

Kardison Lumban Batu

Keyword(s):

Structural Equation Modeling ◽

Structural Equation ◽

Country Of Origin ◽

Equation Modeling ◽

Global Marketing ◽

Consumer Ethnocentrism ◽

Independent Variables ◽

Pharmaceutical Industries ◽

The Impact

The current research is empirically investigated the impact of country of origin and consumer ethnocentrism on growing customer trend directly also through global marketing as mediating variable. It is also assessed the impact of global marketing on growing consumer trend. By deploying Structural Equation Modeling with AMOS, three independent variables were analyzed, country of origin (CoC), global marketing (GM), consumer ethnocentrism (CE) and growing consumer trend (GCT) as dependent variable. The findings showed that both country of origin (CoC) and consumer ethnocentrism (CE) have significant effect on global marketing (GM) as well as on growing consumer trend (GCT). Further, global marketing (GM) successfully mediated and showed significant effect of both country of origin and consumer ethnocentrism. Finally global marketing has significant impact on growing consume trend.

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DAMPAK IKLIM ORGANISASI TERHADAP STRES KERJA DAN KINERJA KARYAWAN

Jurnal Manajemen ◽

10.24912/jm.v20i1.69 ◽

2017 ◽

Vol 20 (1) ◽

pp. 121 ◽

Cited By ~ 1

Author(s):

Muhammad Rasyid Abdillah ◽

Rizqa Anita ◽

Rita Anugerah

Keyword(s):

Structural Equation Modeling ◽

Organizational Climate ◽

Job Stress ◽

Structural Equation ◽

Employee Performance ◽

Partial Least Square ◽

Least Square ◽

Equation Modeling ◽

Head Office ◽

The Impact

Penelitian ini bertujuan untuk menguji dampak iklim organisasi terhadap stres kerja dan kinerja karyawan. Data yang digunakan dalam penelitian ini adalah data primer dalam bentuk kuesioner dimana subjek penelitiannya adalah para 45 karyawan PT. Adei Plantation & Industry Head Office Pekanbaru Riau. Pengujian hipotesis menggunakan Structural Equation Modeling Partial Least Square. Hasil penelitian menunjukkan bahwa iklim organisasi berpengaruh terhadap stres kerja dan kinerja karyawan. Selain itu, hasil ini juga menunjukkan bahwa pengaruh iklim organisasi terhadap kinerja karyawan adalah pengaruh tidak langsung melalui stres kerja.This study aims to examine the impact of organizational climate on job stress and employee performance. The data used in this study was primary data in the form of a questionnaire in which the research subjects are 45 employees of PT. Adei Plantation & Industry Head Office Pekanbaru Riau. To test the hypothesis using Structural Equation Modeling Partial Least Square. The result suggest that organizational climate influence on job stress and employee performance. In addition, result also suggest that the effect of organizational climate on employee performance is indirect influence through job stress.

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Toward Firm Performance in Indonesia: The Role of Good Corporate Governance and Investment Opportunity Set

Jurnal Economia ◽

10.21831/economia.v17i1.35562 ◽

2021 ◽

Vol 17 (1) ◽

pp. 81-90

Author(s):

Dedi Rusdi ◽

Indri Kartika ◽

Maya Indriastuti

Keyword(s):

Corporate Governance ◽

Structural Equation Modeling ◽

Firm Performance ◽

Structural Equation ◽

Equation Modeling ◽

Investment Opportunity ◽

Purposive Sampling ◽

Good Corporate Governance ◽

Investment Opportunity Set

Abstract: This study examined the role of good corporate governance and investment opportunity set in maintaining firm performance. This study's sample population comprised 240 manufacturing companies listed on the Indonesia Stock Exchange from 2016 to 2019. The research sample was selected using a purposive sampling method. The data were analyzed by using structural equation modeling analysis (SEM). The results showed that good corporate governance in terms of board size had a negative effect on firm performance. Meanwhile, good corporate governance in terms of board independence and investment opportunity set had a positive effect on firm performance.Keywords: good corporate governance, investment opportunity set, firm performance Menuju Kinerja Perusahaan di Indonesia: Peran Good Corporate Governance dan Investment Opportunity Set Abstrak: Studi ini menguji peran good corporate governance dan investment opportunity set dalam menjaga kinerja perusahaan. Populasi sampel penelitian terdiri dari 240 perusahaan manufaktur yang terdaftar di Bursa Efek Indonesia dari tahun 2016 hingga 2019. Sampel penelitian dipilih dengan menggunakan metode purposive sampling. Analisis data menggunakan analisis structural equation modeling (SEM). Hasil penelitian menunjukkan bahwa good corporate governance ditinjau dari ukuran dewan komisaris berpengaruh negatif terhadap kinerja perusahaan. Sedangkan good corporate governance ditinjau dari independensi dewan komisaris dan investment opportunity set berpengaruh positif terhadap kinerja perusahaan.Kata kunci: good corporate governance, investment opportunity set, kinerja perusahaan

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COVID-19 Risk Factors, Economic Factors, and Epidemiological Factors nexus on Economic Impact: Machine Learning and Structural Equation Modelling Approaches

Journal of the Nigerian Society of Physical Sciences ◽

10.46481/jnsps.2021.173 ◽

2021 ◽

pp. 395-405

Author(s):

David Opeoluwa Oyewola ◽

Emmanuel Gbenga Dada ◽

Juliana Ngozi Ndunagu ◽

Terrang Abubakar Umar ◽

Akinwunmi S.A

Keyword(s):

Machine Learning ◽

Risk Factors ◽

Structural Equation Modeling ◽

Latent Variables ◽

Structural Equation ◽

Equation Modeling ◽

Support Vector ◽

Economic Factors ◽

Negative Effects ◽

The Impact

Since the declaration of COVID-19 as a global pandemic, it has been transmitted to more than 200 nations of the world. The harmful impact of the pandemic on the economy of nations is far greater than anything suffered in almost a century. The main objective of this paper is to apply Structural Equation Modeling (SEM) and Machine Learning (ML) to determine the relationships among COVID-19 risk factors, epidemiology factors and economic factors. Structural equation modeling is a statistical technique for calculating and evaluating the relationships of manifest and latent variables. It explores the causal relationship between variables and at the same time taking measurement error into account. Bagging (BAG), Boosting (BST), Support Vector Machine (SVM), Decision Tree (DT) and Random Forest (RF) Machine Learning techniques was applied to predict the impact of COVID-19 risk factors. Data from patients who came into contact with coronavirus disease were collected from Kaggle database between 23 January 2020 and 24 June 2020. Results indicate that COVID-19 risk factors have negative effects on epidemiology factors. It also has negative effects on economic factors.

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