scholarly journals PLS path modeling – a confirmatory approach to study tourism technology and tourist behavior

2018 ◽  
Vol 9 (3) ◽  
pp. 249-266 ◽  
Author(s):  
Tobias Müller ◽  
Florian Schuberth ◽  
Jörg Henseler
Keyword(s):  
Latent Variables ◽  
Structural Equation ◽  
Common Factor ◽  
Common Factors ◽  
Equation Modeling ◽  
Path Modeling ◽  
Current Form ◽  
Content Type ◽  
Tourist Behavior ◽  
Tourism And Hospitality

Purpose As technology in tourism and hospitality (TTH) develops technical artifacts according to visitors’ demands, it must deal with both behavioral and design constructs in the context of structural equation modeling (SEM). While behavioral constructs are typically modeled as common factors, the study at hand introduces the composite into TTH to model artifacts. To deal with both kinds of constructs, this paper aims to exploit partial least squares path modeling (PLS-PM) as a confirmatory approach to estimate models containing common factors and composites. Design/methodology/approach The study at hand presents PLS-PM in its current form, i.e. as a full-fledged approach for confirmatory purposes. By introducing the composite to model artifacts, TTH scholars can use PLS-PM to answer research questions of the type “Is artifact xyz useful?”, contributing to a further understanding of TTH. To demonstrate the composite model, an empirical example is used. Findings PLS-PM is a promising approach when the model contains both common factors and composites. By applying the test for overall model fit, empirical evidence can be obtained for latent variables and artifacts. In doing so, researchers can statistically test whether a developed artifact is useful. Originality/value To the best of the authors’ knowledge, this is the first study to discuss the practical application of composite and common factor models in TTH research. Besides introducing the composite to model artifacts, the study at hand also guides scholars in the assessment of PLS-PM results.

A structural equation model for big data adoption in the healthcare supply chain

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dindayal Agrawal ◽  
Jitender Madaan
Keyword(s):  
Factor Analysis ◽  
Big Data ◽  
Supply Chain ◽  
Latent Variables ◽  
Structural Equation ◽  
Equation Model ◽  
Equation Modeling ◽  
Data Governance ◽  
Social Perspective ◽  
Content Type

PurposeThe purpose of this study is to examine the barriers to the implementation of big data (BD) in the healthcare supply chain (HSC).Design/methodology/approachFirst, the barriers concerning BD adoption in the HSC were found by conducting a detailed literature survey and with the expert's opinion. Then the exploratory factor analysis (EFA) was employed to categorize the barriers. The obtained results are verified using the confirmatory factor analysis (CFA). Structural equation modeling (SEM) analysis gives the path diagram representing the interrelationship between latent variables and observed variables.FindingsThe segregation of 13 barriers into three categories, namely “data governance perspective,” “technological and expertise perspective,” and “organizational and social perspective,” is performed using EFA. Three hypotheses are tested, and all are accepted. It can be concluded that the “data governance perspective” is positively related to “technological and expertise perspective” and “organizational and social perspective” factors. Also, the “technological and expertise perspective” is positively related to “organizational and social perspective.”Research limitations/implicationsIn literature, very few studies have been performed on finding the barriers to BD adoption in the HSC. The systematic methodology and statistical verification applied in this study empowers the healthcare organizations and policymakers in further decision-making.Originality/valueThis paper is first of its kind to adopt an approach to classify barriers to BD implementation in the HSC into three distinct perspectives.

Barriers to radical innovation in research institutions in China

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jianhua Yang ◽  
Rafif Al-Sayed
Keyword(s):  
Theoretical Model ◽  
Latent Variables ◽  
Structural Equation ◽  
Business Models ◽  
Research Collaboration ◽  
Statistical Significance ◽  
Radical Innovation ◽  
Equation Modeling ◽  
Research Institutions ◽  
Content Type

Purpose This study aims to develop a better understanding of radical innovation performance and proposes a comprehensive and theoretical model of the barriers impeding radical innovation from the perspective of researchers working in research institutions in China. Both quantitative and qualitative techniques were used to test the hypotheses regarding barriers to radical innovation and the model proposed in this research. Design/methodology/approach The data was collected through questionnaires and semi-structured interviews with researchers from different research institutions across several cities in China. Next, the data was analyzed by deploying the structural equation modeling technique and calculating the statistical significance of correlations, regression and path coefficients among the latent variables. Findings The results indicated the major barriers impeding radical innovation in Chinese research institutes. Based on these findings, suggested policies, regulations and business models are put forward that can promote radical innovation in these institutes through increasing research freedom, enhancing organizational flexibility, attracting talented researchers and expanding research collaboration. Originality/value The research proposes a comprehensive and theoretical model of the barriers impeding radical innovation from the perspective of researchers working in research institutions in China.

Trust factors for organic foods: consumer buying behavior

2019 ◽  
Vol 122 (2) ◽  
pp. 414-431 ◽  
Author(s):  
Tsung Hung Lee ◽  
Chung-Jen Fu ◽  
Yin Yuan Chen
Keyword(s):  
Latent Variables ◽  
Structural Equation ◽  
Organic Food ◽  
Equation Modeling ◽  
Small Scale ◽  
Buying Behavior ◽  
Organic Foods ◽  
Behavior Theory ◽  
Content Type ◽  
Trust Factors

Purpose The purpose of this paper is to assess the relationship between trust factors and buying behavior among consumers in the organic food market in Taiwan. Design/methodology/approach The researchers developed a questionnaire using latent variables including the trust factors, utilitarian attitudes, hedonic attitudes, buying behavior and demographic information of consumers of organic foods. Confirmatory factor analysis and the structural equation modeling were conducted using LISREL 8.80 for Windows. Findings The empirical results indicated that health content, locally produced products, organic food labels and price premiums positively and significantly affected utilitarian and hedonic attitudes. Both utilitarian attitudes and hedonic attitudes positively and significantly affected respondents’ buying behavior. A series of theoretical implications were identified. Practical implications The researchers concluded that providing consumers with practical information related to organic food, establishing local production facilities, developing content, standardizing labeling procedures and promoting a new organic certification system for small-scale producers will encourage more consumers to purchase organic food. Originality/value This study first examines the food trust buying behavior of organic foods and related consumption behavior theory questions. It mainly takes the stimulus–organism–response model as the foundation of its approach. Simultaneously, it also conforms to utilitarian behavior theory, and the process by which consumers become better aware of organic foods’ quality.

Rethinking balanced scorecard (BSC) measures: formative versus reflective measurement models

2017 ◽  
Vol 66 (1) ◽  
pp. 92-110 ◽  
Author(s):  
Sungbum Park ◽  
Heeseok Lee ◽  
Seong Wook Chae
Keyword(s):  
Balanced Scorecard ◽  
Latent Variables ◽  
Structural Equation ◽  
Model Comparison ◽  
Empirical Studies ◽  
Equation Modeling ◽  
Content Type ◽  
Formative Measurement ◽  
Measurement Models ◽  
Formative Indicators

Purpose Most empirical balanced scorecard (BSC) studies have shown a tendency to wrongly employ reflective indicators instead of the more theoretically suitable formative indicators. However, formative indicators are difficult to apply due to the lack of statistical software support and a standardized model testing method. The paper aims to discuss these issues. Design/methodology/approach This study empirically compares the reflective and formative measurement method with standardized model comparison criteria. After collecting 217 valid questionnaires from companies in South Korea, the authors applied a structural equation modeling technique to analyze the data. Findings The result shows that the formative measure provides greater validity for the corporate performance measurement using BSC. Further, this study shows the indicators’ relative influence on each BSC perspectives using the formative measure. Practical implications This study proved the usefulness of the formative measure analysis method and suggested its practical use, focusing on the indicators most useful in developing corporate strategies. In addition, the authors showed that formative indicators could be used in the corporate environment by overcoming the limitations of conventional studies that were confined to causal relationships with latent variables. Originality/value This study may be the pioneering work that compares formative and reflective indicators simultaneously, addressing the usefulness of formative measurement and its application validity in the existing empirical studies using reflective measurements.

The moderating role of 360-degree appraisal between engagement and innovative behaviors

2019 ◽  
Vol 69 (2) ◽  
pp. 361-381 ◽  
Author(s):  
Silva Karkoulian ◽  
Jordan Srour ◽  
Leila Canaan Messarra
Keyword(s):  
Resource Use ◽  
Latent Variables ◽  
Structural Equation ◽  
Idea Generation ◽  
Financial Resource ◽  
Work Behavior ◽  
Equation Modeling ◽  
Content Type ◽  
The Relationship ◽  
Innovative Behaviors

Purpose Engaged employees are a critical asset in any business. This is largely because engaged employees tend to proffer innovative solutions to complex problems in the workplace. The purpose of this paper is to examine the relationship between engagement and innovation as moderated by the use of 360-degree evaluation. Design/methodology/approach A survey targeting employees in Lebanon solicited their perceptions of 360-degree evaluation, engagement and innovative behaviors along with a statement as to whether their firm used 360-degree evaluations or not. Structural equation modeling (SEM) was used to test the moderating effect of 360-degree evaluations on the latent variables of engagement and three facets of innovation. Findings SEM results show that 360-degree evaluations serve to enhance engaged employees’ innovative work behavior. However, ideation (creation and implementation) behaviors are more strongly influenced by the presence of 360-degree evaluation as compared to their “tangible” counterpart (technology and financial resource use). Research limitations/implications Respondents selected for this research were randomly sampled employees in Lebanon. A stronger study strategy would be to study paired departments within organizations – one implementing 360-degree evaluation and another not implementing it. Practical implications Managers, seeking to engender and strengthen innovative behaviors in engaged employees, should utilize 360-degree evaluation processes. Furthermore, the 360-degree evaluations should be designed to probe both tangible (technology and financial resource use) and intangible (idea generation and implementation) facets of innovation. Originality/value This study yields a deeper understanding of the relationship between engagement and innovative behaviors in the workplace along with managerial insights into the design and use of 360-degree evaluation.

scholarly journals Using PLS path modeling in new technology research: updated guidelines

2016 ◽  
Vol 116 (1) ◽  
pp. 2-20 ◽  
Author(s):  
Jörg Henseler ◽  
Geoffrey Hubona ◽  
Pauline Ash Ray
Keyword(s):  
Structural Equation ◽  
Design Methodology ◽  
New Technology ◽  
Equation Modeling ◽  
Technology Research ◽  
Path Modeling ◽  
Statistical Tool ◽  
New Developments ◽  
Content Type ◽  
Pls Path Modeling

Purpose – Partial least squares (PLS) path modeling is a variance-based structural equation modeling (SEM) technique that is widely applied in business and social sciences. Its ability to model composites and factors makes it a formidable statistical tool for new technology research. Recent reviews, discussions, and developments have led to substantial changes in the understanding and use of PLS. The paper aims to discuss these issues. Design/methodology/approach – This paper aggregates new insights and offers a fresh look at PLS path modeling. It presents new developments, such as consistent PLS, confirmatory composite analysis, and the heterotrait-monotrait ratio of correlations. Findings – PLS path modeling is the method of choice if a SEM contains both factors and composites. Novel tests of exact fit make a confirmatory use of PLS path modeling possible. Originality/value – This paper provides updated guidelines of how to use PLS and how to report and interpret its results.

Perceived value, trust and purchase intention of organic food: a study with Brazilian consumers

2020 ◽  
Vol 122 (4) ◽  
pp. 1070-1184 ◽  
Author(s):  
Eluiza Alberto de Morais Watanabe ◽  
Solange Alfinito ◽  
Isabelle Cristina Galindo Curvelo ◽  
Kavita Miadaira Hamza
Keyword(s):  
Latent Variables ◽  
Purchase Intention ◽  
Structural Equation ◽  
Organic Food ◽  
Perceived Value ◽  
Consumer Trust ◽  
Equation Modeling ◽  
Future Research ◽  
Content Type ◽  
Food Market

PurposeThe consumption of organic food grows worldwide, increasing the need of studies seeking to understand factors influencing its consumption. To extend the understanding of organic food market, the present research seeks to explore the effect of perceived value on consumer trust and purchase intention in Brazil.Design/methodology/approachA survey with 274 Brazilian consumers of organic food was carried out. Perceived value was measured through four dimensions: functional, economic, social and emotional. The convergent and discriminant validities of latent variables were confirmed. The relationships among them were tested using structural equation modeling.FindingsThe results indicate that functional and emotional values positively affect consumer trust and that only emotional value motivates purchase intention. The trust had no direct influence on purchase intention. Thus, the perceived value is an important aspect in the prediction of trust and purchase intention among Brazilian consumers.Originality/valueThe identified results enlarge the understanding of Brazilian organic food market and consumer behavior and point out some opportunities for future research involving the subject.

Effect of poultry absorptive capacity on the farms' economic and commercial performance

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Florence Obiageli Ifeanyieze ◽  
Cosmas Ikechukwu Asogwa ◽  
Clara U. Nwankwo ◽  
Lilian Ukamaka Ekenta ◽  
Felicia Ngozi Ezebuiro ◽  
...  
Keyword(s):  
Absorptive Capacity ◽  
Latent Variables ◽  
Structural Equation ◽  
Dynamic Capabilities ◽  
Equation Modeling ◽  
Developed Country ◽  
Content Type ◽  
Performance Effect ◽  
Market Shares ◽  
Commercial Performance

PurposeCorporate organizations could enhance their economic and commercial values through knowledge acquisitions and exploitations. The purpose of this study is to analyze the economic and commercial performance effect of poultry management absorptive capacity in Nigeria.Design/methodology/approachStructural equation modeling was used in the analysis of a random sample of 300 poultry managers and owners surveyed within the South-Eastern Nigeria. The scales that quantified the latent variables of the factors were tested for reliability and consistency using confirmatory factor analysis.FindingsThe study found evidence that the difference between economically and commercially viable poultry businesses and failing ones depends on the level of absorptive capacity. Absorptive capacity advanced innovations that resulted in higher economic and commercial performance of poultry farm. Poultry firms' profitability, sales growth and market shares were positively increased by absorptive capacity dimensions of acquisition, assimilation, transformation and exploitation.Research limitations/implicationsThe study was carried out within a region in Nigeria and thus could be limited by generalization to the developed country.Originality/valueThis study is the first to link four dimensions of absorptive capacity to the economic and commercial performance of poultry businesses in Nigeria. As such, it originally breaks new frontier of poultry farming from dynamic capabilities and absorptive capacity perspectives.

Entrepreneurial resilience and business continuity in the tourism and hospitality industry: the role of adaptive performance and institutional orientation

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ibrahim A. Elshaer ◽  
Samar Kamel Saad
Keyword(s):  
Structural Equation ◽  
Longitudinal Research ◽  
Contextual Factors ◽  
Group Analysis ◽  
Business Continuity ◽  
Equation Modeling ◽  
Adaptive Performance ◽  
Content Type ◽  
Travel Agents ◽  
Tourism And Hospitality

Purpose This study aims to explore the dynamics of resilience in tourism and hospitality enterprises by investigating the influence of internal and external contextual factors (i.e. adaptive performance and institutional orientation) on the relationship between entrepreneurs’ resilience and business continuity indicators (i.e. perception of career insecurity and business exit intention). Design/methodology/approach In the Covid-19 pandemic context, quantitative data were collected using self-administrated questionnaires from entrepreneurs (founders of small-sized restaurants and travel agents in Egypt) using structural equation modeling. Findings The study reveals that entrepreneurs’ resilience under adversities directly correlates with business continuity indicators, with adaptive performance and institutional orientation functioning as mediators. Research limitations/implications The socio-demographic characteristics of entrepreneurs could be further investigated to observe the differences based on age, education and region. The type of business (i.e. restaurants and travel agents) could have an impact on the examined relationships. Therefore, further studies can use multi-group analysis to examine such differences between various sub-sectors of the hospitality business. Finally, the cross-sectional sample method used in this study is another limitation. In any study in which causality is inferred, longitudinal research confirms stronger inferences (Morgan & Hunt, 1994). Practical implications An instant implication is that entrepreneurs can take proactive actions to enhance their resilience. Entrepreneurs should seek to influence their own skills and abilities through various educational and training programs. For example, they can take advantage of business seminars, workshops and executive education courses. Entrepreneurs who have the chance of enhancing their skills in solving complex problems, identifying their strengths, managing their emotions are better able to adapt to unfavorable circumstances. Social implications The inhabited environment. Entrepreneurs should be institutionally oriented by building strong communications and networks with key actors and business-to-business customers. This would help entrepreneurs to understand the rules of the game, adapt to the environment, gain market legitimacy and accordingly acquire the social and financial support when hazards occur. Originality/value The extant literature lacks evidence about the internal and external contextual factors underlying the process of resilience in small and medium-sized enterprises and its outcomes. Research on entrepreneurship has rarely discussed the antecedents of business withdrawal. This study contributes to addressing this research gap.

Examination of the roles played by brand love and jealousy in shaping customer engagement

2014 ◽  
Vol 23 (1) ◽  
pp. 24-32 ◽  
Author(s):  
Abhigyan Sarkar ◽  
S. Sreejesh
Keyword(s):  
Structural Equation ◽  
Common Factor ◽  
Customer Engagement ◽  
Equation Modeling ◽  
Active Engagement ◽  
Brand Love ◽  
Content Type ◽  
Romantic Jealousy ◽  
Study Results ◽  
Specific Country

Purpose – The purpose of the present paper is to develop and validate a scale of romantic brand jealousy and to examine the role played by the brand love-jealousy framework on consumers' active engagement. Design/methodology/approach – In order to develop and validate the romantic brand jealousy scale the present study has employed Churchill's methodology. The study has used common factor analysis and structural equation modeling using LISREL 8.72. Findings – This research provides empirical evidence for a three-item romantic brand jealousy scale. The study results indicate that the romantic jealousy scale developed is valid and reliable. It also shows that in contrast to previous literature, wherein authors found that brand love would create customer engagement, the brand love-jealousy framework would act as a better mediator to create customer engagement and also to motivate the customer to purchase the brand. Research limitations/implications – This research was conducted in a specific country (India). It would be more robust if the scale developed by this study could be examined in the context of other countries. Practical implications – This study is expected to help managers to formulate a better marketing strategy to increase customer engagement using the proposed brand love-jealousy framework. Originality/value – This research adds value to the domain of consumer psychology research by proposing that brand jealousy needs to be created along with brand love in customer's mind to augment the level of active engagement.

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