Refereeing articles including SEM – what should referees look for?

2020 ◽  
Vol 1 (1) ◽  
pp. 47-61 ◽  
Author(s):  
Chris Ryan
Keyword(s):  
Sample Size ◽  
Least Squares ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Cross Sectional ◽  
Content Type ◽  
Equation Modelling ◽  
Sectional Analysis ◽  
Scale Creation ◽  
Least Squares Techniques

Purpose After expressing an initial disquiet about the nature of many studies that are published using structural equation modelling (SEM), a rationale for using the technique is provided. Given the advantages provided by the technique, the differences between covariance-based and partial least squares techniques are briefly described. The argument progresses by indicating assumptions behind the techniques and what it is that referees require before being able to properly referee the paper. Some issues are fundamental to survey-based materials and include the requirement to distinguish between importance and discriminatory power, and the over-dependency on cross-sectional analysis when making claims of generalisation. Other issues of scale creation and sample size are touched upon. This paper finishes by suggesting a checklist for referees who are asked to review papers using SEM.

How do avatar characteristics affect avatar friendliness and online gamer loyalty? Perspective of the theory of embodied cognition

2018 ◽  
Vol 28 (4) ◽  
pp. 1103-1121 ◽  
Author(s):  
Kai Li ◽  
Huynh Van Nguyen ◽  
T.C.E. Cheng ◽  
Ching-I Teng
Keyword(s):  
Big Data ◽  
Embodied Cognition ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Design Methodology ◽  
Research Model ◽  
Cross Sectional ◽  
Content Type ◽  
Equation Modelling ◽  
Cross Sectional Design

Purpose As technology-created gamers’ representations, avatars are influential in communication among online gamers. However, there is scant research on how avatars’ characteristics impact gamers’ friendly behaviour via avatars, i.e., avatar friendliness, and how avatar friendliness is related to online gamer loyalty. The purpose of this paper is to develop a research model grounded in the theory of embodied cognition to examine the impacts of perceived avatar appearance agreeableness, attractiveness and height on avatar friendliness and online gamer loyalty. Design/methodology/approach The authors collect 1,384 responses from online gamers and use structural equation modelling for hypothesis testing. Findings The authors find that perceived avatar appearance agreeableness and attractiveness are positively related to avatar friendliness, while perceived avatar height is negatively related to avatar friendliness. Avatar friendliness, in turn, is positively related to online gamer loyalty. Research limitations/implications This study assessed gamers’ perceptions using a cross-sectional design. Future works could use a big data approach to collect behavioural and longitudinal data. Moreover, future works could measure avatar height using pixels. Originality/value The authors contribute to the e-commerce literature by inventing the new constructs of perceived avatar appearance agreeableness and avatar friendliness, and conducting the first study of using avatar friendliness to explain the impacts of the three avatar characteristics on online gamer loyalty. The findings also provide novel insights for e-commerce managers to effectively build a loyal gamer base.

A comparative study of covariance and partial least squares based structural equation modelling in hospitality and tourism research

2018 ◽  
Vol 30 (1) ◽  
pp. 416-435 ◽  
Author(s):  
Faizan Ali ◽  
Woo Gon Kim ◽  
Jun (Justin) Li ◽  
Cihan Cobanoglu
Keyword(s):  
Least Squares ◽  
Partial Least Squares ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Tourism Industry ◽  
Comparative Approach ◽  
Tourism Research ◽  
Content Type ◽  
Equation Modelling ◽  
Hospitality And Tourism

Purpose Structural equation modelling (SEM) has increasingly been used by hospitality and tourism researchers to examine complex relationships. This paper aims to highlight the benefits and limitations of SEM for hospitality and tourism research and compare its two main approaches, i.e. covariance-based SEM (CB-SEM) and partial least squares-SEM (PLS-SEM). Design/methodology/approach By using a comparative approach, this study parallels SEM’s two main approaches, i.e. CB-SEM and PLS-SEM, using three different examples from hospitality and tourism industry. Both the approaches are compared side by side in terms of assumptions, validity and reliability of measurement models, item retention and loadings, strength and significance of path relationships and coefficient of determinations. Findings The findings show that even though both methods analyse measurement theory and structural path models, there are relatively higher advantages for hospitality and tourism researchers in applying PLS-SEM. Research limitations/implications Because of the limitations of only using three examples, the results and trends generated in this study may not be generalized to all research in hospitality and tourism discipline. Moreover, the Likert scale has been used to measure the constructs in both the studies, which may have biased the results. Originality value This study is the first to compare the usage of both the SEM approaches in hospitality and tourism research. The findings of this study provide significant implications and directions for hospitality and tourism researchers to apply PLS-SEM in the future.

Driving users’ behaviours and engagement in co-creating services

2020 ◽  
Vol 34 (4) ◽  
pp. 549-573 ◽  
Author(s):  
Anna-Sophie Oertzen ◽  
Gaby Odekerken-Schröder ◽  
Birgit Mager
Keyword(s):  
Least Squares ◽  
Partial Least Squares ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Design Methodology ◽  
Service Providers ◽  
Working Environment ◽  
Content Type ◽  
Equation Modelling ◽  
Practical Implications

Purpose This paper investigates factors that determine users’ behaviours during services co-creation, as well as those that influence their engagement in such efforts. Design/methodology/approach Study 1 relies on partial least squares structural equation modelling and between-subjects, scenario-based experiments with 633 participants to examine users’ co-creation behaviours. Study 2 uses interactive research workshops with 38 design professionals to analyse the drivers and inhibitors of users’ co-creation engagement and the likelihood of different user types to engage in it. Findings Dispositional and demographic factors can predict users’ behaviours during services co-creation. A proposed framework details drivers and inhibitors of users’ engagement in co-creation, and a typology predicts the likelihood of different users to engage in co-creation, based on their traits and demographics. This likelihood to co-create, according to traits, then can be predicted according to elemental, compound and situational traits. Practical implications Service providers and service designers can use these findings to design better co-creation activities for various users, build a conducive working environment and select suitable participants for co-creation activities. Originality/value The current study addresses the dearth of research pertaining to how to encourage users to co-create services and drive their engagement in such efforts.

Tips to use partial least squares structural equation modelling (PLS-SEM) in knowledge management

2019 ◽  
Vol 23 (1) ◽  
pp. 67-89 ◽  
Author(s):  
Gabriel Cepeda-Carrion ◽  
Juan-Gabriel Cegarra-Navarro ◽  
Valentina Cillo
Keyword(s):  
Knowledge Management ◽  
Least Squares ◽  
Partial Least Squares ◽  
Structural Equation Modelling ◽  
Latent Variables ◽  
Structural Equation ◽  
Analysis Data ◽  
Sem Analysis ◽  
Content Type ◽  
Equation Modelling

PurposeStructural equation modelling (SEM) has been defined as the combination of latent variables and structural relationships. The partial least squares SEM (PLS-SEM) is used to estimate complex cause-effect relationship models with latent variables as the most salient research methods across a variety of disciplines, including knowledge management (KM). Following the path initiated by different domains in business research, this paper aims to examine how PLS-SEM has been applied in KM research, also providing some new guidelines how to improve PLS-SEM report analysis.Design/methodology/approachTo ensure an objective way to analyse relevant works in the field of KM, this study conducted a systematic literature review of 63 publications in three SSCI-indexed and specific KM journals between 2015 and 2017.FindingsOur results show that over the past three years, a significant amount of KM works has empirically used PLS-SEM. The findings also suggest that in light of recent developments of PLS-SEM reporting, some common misconceptions among KM researchers occurred mainly related to the reasons for using PLS-SEM, the purposes of PLS-SEM analysis, data characteristics, model characteristics and the evaluation of the structural models.Originality/valueThis study contributes to that vast KM literature by documenting the PLS-SEM-related problems and misconceptions. Therefore, it will shed light for better reports in PLS-SEM studies in the KM field.

The relationship between environmental cost on organisational performance and environmental management system: a structural equation modelling approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nursyazwani Mohd Fuzi ◽  
Nurul Fadly Habidin ◽  
Sabrinah Adam ◽  
Sharon Yong Yee Ong
Keyword(s):  
Environmental Management ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Manufacturing Industry ◽  
Environmental Management System ◽  
Environmental Cost ◽  
Organisational Performance ◽  
Content Type ◽  
Equation Modelling ◽  
The Relationship

Purpose This study aims to examine the relationship between environmental cost (EC) on organisational performance (OPM) through an environmental management system (EMS) as the mediating variable. Design/methodology/approach A total of 2,600 manufacturers were identified and consequently selected as the entire study population. Additionally, this study used the structural equation modelling technique to identify the mediator effects of EMS between EC and OPM. Findings The EC and EMS relationship on OPM produced direct and indirect consequences. Hence, it is concluded that manufacturing industry in Malaysia are focused on the OPM when implementing EC and EMS. Originality/value The model would incorporate EC and EMS implementation on OPM in the Malaysian manufacturing industry. This study could also be advantageous to the industry in improving EC, EMS and OPM.

scholarly journals What factors influence older people’s intention to enrol in nursing homes? A cross-sectional observational study in Shanghai, China

BMJ Open ◽  
2018 ◽  
Vol 8 (9) ◽  
pp. e021741 ◽  
Author(s):  
Mengyun Luo ◽  
Yajiong Xue ◽  
Shunxing Zhang ◽  
Yuanyuan Dong ◽  
Dandan Mo ◽  
...  
Keyword(s):  
Nursing Homes ◽  
Observational Study ◽  
Rural Areas ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Value Added ◽  
Subjective Norm ◽  
Cross Sectional ◽  
Term Care ◽  
Equation Modelling

ObjectivesGiven the increasing need of long-term care and the low occupancy rate of nursing homes in Shanghai, this study attempts to explore what factors influence older people’s intention to enrol in nursing homes.DesignA cross-sectional observational study based on the theory of reasoned action was conducted. Survey data were collected from subjects during face-to-face interviews. Structural equation modelling was employed for data analysis.SettingThis study was conducted in six community health service centres in Shanghai, China. Two service centres were selected in urban, suburban and rural areas, respectively.ParticipantsA total of 641 Shanghai residents aged over 60 were surveyed.ResultsStructural equation modelling analysis showed that the research model fits the data well (χ2/df=2.948, Comparative Fit Index=0.972 and root mean squared error of approximation =0.055). Attitude (β=0.41, p<0.01), subjective norm (β=0.28, p<0.01) and value-added service (β=0.16, p<0.01) were directly associated with enrolment intention, explaining 32% of variance in intention. Attitude was significantly influenced by loneliness (β=−0.08, p<0.05), self-efficacy (β=0.32, p<0.01) and stigma (β=−0.24, p<0.01), while subjective norm was significantly influenced by life satisfaction (β=−0.15, p<0.01) and stigma (β=−0.43, p<0.01).ConclusionsThis study advances knowledge regarding the influencing factors of older people’s intention to enrol in nursing homes. It suggests that Chinese older persons’ perceived stigma has the strongest indirect effect on their intention to enrol in nursing homes. This is unique to the Chinese context and has practical implications for eldercare in China and other Asian countries with similar sociocultural contexts.

Using structural equation modelling to assess the sustainable competitive advantages provided by the low-cost carrier model

2018 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Vedant Singh ◽  
S. Vaibhav ◽  
Somesh Kr. Sharma
Keyword(s):  
Structural Equation Modelling ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Low Cost ◽  
Future Research ◽  
Competitive Advantages ◽  
Content Type ◽  
Equation Modelling ◽  
Five Factors ◽  
Sustainable Competitive Advantages

PurposeThe purpose of this study is to examine the relationships between the dimensions of sustainable competitive advantages in the Indian low cost airlines.Design/methodology/approachThis study used structural equation modelling methods to identify the factors that significantly affect the sustainable competitive advantages enjoyed by Indian low-cost carriers (LCCs). Specifically, this study is based on the data from 208 airline experts that populate multiple structural equation models.FindingsResults indicate that indigenous efficiency, the LCCs perceptions of threat, dexterity, strategic persuasion and the LCC adopting an enabling role positively affect LCCs’ competitive advantages. These five factors were all correlated with each other. The results also show that relative to an LCC’s dexterity, indigenous efficiency is a stronger predictor of an LCC’s competitive advantages.Originality/valueThis study provides low-cost airlines with valuable information for designing effective strategies for obtaining competitive advantages in the LCC sector. To conclude the paper, the authors offer practical recommendations for managers and suggest some avenues for future research in this area.

scholarly journals Pengaruh Modal Insani dan Modal Sosial terhadap Kinerja (Studi Kasus Usaha Kecil dan Menengah (UKM) Makanan dan Minuman Kota Bogor)

2016 ◽  
Vol 5 (3) ◽  
pp. 244
Author(s):  
Layla Khoirrini ◽  
Lindawati Kartika
Keyword(s):  
Performance Analysis ◽  
Least Squares ◽  
Partial Least Squares ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Equation Modelling

<p>Usaha Kecil dan Menengah (UKM) makanan dan minuman kota Bogor mampu menyerap banyak tenaga kerja. Tenaga kerja merupakan aset bagi perusahaan dalam bentuk modal insani dan modal sosial. Tujuan penelitian ini adalah menganalisis secara deskriptif, menganalisis pengaruh modal insani dan modal sosial terhadap kinerja UKM makanan dan minuman Kota Bogor, serta memformulasikan rekomendasi untuk meningkatkan kinerja UKM. Metode penelitian yang digunakan antara lain analisis deskriptif, <em>Importance Performance Analysis </em>(IPA), <em>fishbone</em> diagram, dan <em>Structural Equation Modelling</em> (SEM) dengan pendekatan <em>Partial Least Squares </em>(PLS). Hasil analisis SEM menyatakan bahwa pengetahuan lain  dan dimensi struktural berpengaruh terhadap modal insani dan modal sosial, di mana modal insani dan modal sosial berpengaruh positif dan signifikan terhadap kinerja. Oleh karena itu, peningkatan kinerja pada UKM direkomendasikan melalui beberapa kegiatan penunjang antara lain: membentuk sistem pengendalian mutu dan penyusunan standar pelaksanaan produksi, memperbaiki sarana prasarana yang dimiliki oleh UKM, serta ikut serta dalam pelatihan untuk meningkatkan kompetensi pekerja UKM.</p>Kata kunci: kinerja UKM, modal insani, modal sosial, <em>partial least squares, </em><em>structural equation modelling</em>

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