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Abstract

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Applying Partial Least Squares in Tourism and Hospitality Research
Type: Book
ISBN: 978-1-78756-700-9

Open Access
Article
Publication date: 29 November 2018

Tobias Müller, Florian Schuberth and Jörg Henseler

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…

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Abstract

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.

研究目的

因为旅游酒店科技(TTH)根据游客需求而定制科技产品, TTH必须在结构方程模型(SEM)下结合游客行为和设计等变量。一般行为变量在模型中是常见因子, 本研究将这些变量编入TTH结构成为模块。本研究采用PLS-PM方法来预估含有隐性变量和模块的模型。.

研究设计/方法/途径

本研究设计PLS-PM模式, 即确定性全变量方法。TTH学者们通过引进结构形成模型模块, 使用PLS-PM研究方法, 以回答研究问题“模块xyz有用吗?”, 因此对TTH进一步理解。为了展示复合模型, 本论文采用实际验证。.

研究结果

PLS-PM在面对模块内存在常见因子和复合模块的结构时是有力方法。实际验证结果通过整体最佳模型参数, 得到隐性变量和模块。为此, 研究者们能够在统计方法上测量是否开发的模型模块是否有用。.

研究原创性/研究价值

据作者所知, 本论文是首个研究在TTH领域上应用模块和常见因子模型。本研究引进显性变量在模型模块中, 以指导学者评估PLS-PM结果报告。.

Details

Journal of Hospitality and Tourism Technology, vol. 9 no. 3
Type: Research Article
ISSN: 1757-9880

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Article
Publication date: 2 September 2020

Florian Schuberth, Manuel Elias Rademaker and Jörg Henseler

The purpose of this study is threefold: (1) to propose partial least squares path modeling (PLS-PM) as a way to estimate models containing composites of composites and to…

Abstract

Purpose

The purpose of this study is threefold: (1) to propose partial least squares path modeling (PLS-PM) as a way to estimate models containing composites of composites and to compare the performance of the PLS-PM approaches in this context, (2) to provide and evaluate two testing procedures to assess the overall fit of such models and (3) to introduce user-friendly step-by-step guidelines.

Design/methodology/approach

A simulation is conducted to examine the PLS-PM approaches and the performance of the two proposed testing procedures.

Findings

The simulation results show that the two-stage approach, its combination with the repeated indicators approach and the extended repeated indicators approach perform similarly. However, only the former is Fisher consistent. Moreover, the simulation shows that guidelines neglecting model fit assessment miss an important opportunity to detect misspecified models. Finally, the results show that both testing procedures based on the two-stage approach allow for assessment of the model fit.

Practical implications

Analysts who estimate and assess models containing composites of composites should use the authors’ guidelines, since the majority of existing guidelines neglect model fit assessment and thus omit a crucial step of structural equation modeling.

Originality/value

This study contributes to the understanding of the discussed approaches. Moreover, it highlights the importance of overall model fit assessment and provides insights about testing the fit of models containing composites of composites. Based on these findings, step-by-step guidelines are introduced to estimate and assess models containing composites of composites.

Abstract

Details

Applying Partial Least Squares in Tourism and Hospitality Research
Type: Book
ISBN: 978-1-78756-700-9

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Article
Publication date: 1 February 2018

Nicola Giuseppe Castellano and Roberto Del Gobbo

The purpose of this paper is to study how the design of a strategy map can be supported by measures expressing the customers’ perceptions about strategic factors and their…

Abstract

Purpose

The purpose of this paper is to study how the design of a strategy map can be supported by measures expressing the customers’ perceptions about strategic factors and their related determinants. In particular, managers are provided with a fact-based test useful to revise prior knowledge and beliefs.

Design/methodology/approach

A case study is used to describe the adoption of the partial least squares path modelling (PLS-PM) approach to structural equation modelling in order to compare competing strategy maps and select the one that best fits customer perceptions. A focus group was organised to design the strategy maps, which were tested through a survey of 600 randomly selected resellers.

Findings

The empirical-based validation of a causal map by using PLS-PM may effectively stimulate a revision of managers’ collective perceptions about a phenomenon characterised by implicit knowledge, as in the case of customer needs.

Research limitations/implications

The case-study company operates in a business-to-business environment, and thus only the needs of direct customers have been included in the analysis. Final users’ needs should also be considered, even if different solutions are required for data collection.

Practical implications

The proposed approach provides a set of indicators which allow managers to identify strategic priorities, thus facilitating decision making and strategic planning.

Originality/value

In the strategic management literature, few attempts have been made to operationalise the complex and multidimensional latent constructs of a strategy map combining managers’ implicit knowledge and empirical validation in a “holistic” manner. The adoption of PLS-PM is relatively new in testing the accuracy of causal maps.

Details

Management Decision, vol. 56 no. 4
Type: Research Article
ISSN: 0025-1747

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Article
Publication date: 7 December 2015

Annie Tubadji and Frank Pelzel

The purpose of this paper is to conduct an in-depth exploratory test of the innovative culture-based development (CBD) concept and to evaluate its potential for empirical…

Abstract

Purpose

The purpose of this paper is to conduct an in-depth exploratory test of the innovative culture-based development (CBD) concept and to evaluate its potential for empirical research.

Design/methodology/approach

The authors use the partial least squares path modelling (PLS-PM) method to look closely at the latently present factor culture and investigate its various possible relationships with the rest of the sub-components of socio-economic development. The authors estimate two alternative specifications of the CBD model, with regional data for Germany in 2006.

Findings

The main finding is that according to the PLS-PM quality criteria, the CBD model is a suitable approach for measuring the cultural impact on regional level. The expected sign of the cultural effect suggested by the CBD concept is also confirmed by the results.

Originality/value

The authors identify interesting potential bottlenecks in applying the CBD concept incorrectly and demonstrate the PLS-PM potential to control for them.

Details

International Journal of Social Economics, vol. 42 no. 12
Type: Research Article
ISSN: 0306-8293

Keywords

Open Access
Article
Publication date: 15 March 2019

Michael Klesel, Florian Schuberth, Jörg Henseler and Bjoern Niehaves

People seem to function according to different models, which implies that in business and social sciences, heterogeneity is a rule rather than an exception. Researchers…

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3216

Abstract

Purpose

People seem to function according to different models, which implies that in business and social sciences, heterogeneity is a rule rather than an exception. Researchers can investigate such heterogeneity through multigroup analysis (MGA). In the context of partial least squares path modeling (PLS-PM), MGA is currently applied to perform multiple comparisons of parameters across groups. However, this approach has significant drawbacks: first, the whole model is not considered when comparing groups, and second, the family-wise error rate is higher than the predefined significance level when the groups are indeed homogenous, leading to incorrect conclusions. Against this background, the purpose of this paper is to present and validate new MGA tests, which are applicable in the context of PLS-PM, and to compare their efficacy to existing approaches.

Design/methodology/approach

The authors propose two tests that adopt the squared Euclidean distance and the geodesic distance to compare the model-implied indicator correlation matrix across groups. The authors employ permutation to obtain the corresponding reference distribution to draw statistical inference about group differences. A Monte Carlo simulation provides insights into the sensitivity and specificity of both permutation tests and their performance, in comparison to existing approaches.

Findings

Both proposed tests provide a considerable degree of statistical power. However, the test based on the geodesic distance outperforms the test based on the squared Euclidean distance in this regard. Moreover, both proposed tests lead to rejection rates close to the predefined significance level in the case of no group differences. Hence, our proposed tests are more reliable than an uncontrolled repeated comparison approach.

Research limitations/implications

Current guidelines on MGA in the context of PLS-PM should be extended by applying the proposed tests in an early phase of the analysis. Beyond our initial insights, more research is required to assess the performance of the proposed tests in different situations.

Originality/value

This paper contributes to the existing PLS-PM literature by proposing two new tests to assess multigroup differences. For the first time, this allows researchers to statistically compare a whole model across groups by applying a single statistical test.

Details

Internet Research, vol. 29 no. 3
Type: Research Article
ISSN: 1066-2243

Keywords

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Article
Publication date: 11 November 2021

Juan E. Núñez-Ríos, Jacqueline Y. Sánchez-García, Manuel Soto-Pérez, Elias Olivares-Benitez and Omar G. Rojas

Small- and medium-sized enterprises (SMEs) mainly rely on their structure and internal networks to achieve their goals and remain competitive. However, their limited…

Abstract

Purpose

Small- and medium-sized enterprises (SMEs) mainly rely on their structure and internal networks to achieve their goals and remain competitive. However, their limited internal capabilities and complex environments can hinder their stability. Thus, this study evaluated the relationships among specific factors toward fostering organizational resilience (OR) in tourism SMEs.

Design/methodology/approach

A multi-methodological approach was adopted to address this research study, including (1) social network analysis (SNA) to formulate the conceptual model and (2) construct validation through partial least squares path modeling (PLS-PM).

Findings

The six proposed hypotheses were supported. These results suggest that addressing these variables and relationships after considering management style and people development as critical factors can foster OR in tourism SMEs.

Research limitations/implications

The ideas that were developed were constrained to the organizational domain. Although the results apply to the Mexican context, this limitation can be offset by extending the proposal to other emergent regions or organizations. This can also increase the generalization of the results and foster improvements in the approaches applied.

Practical implications

Academics and managers must rethink resilience as the final state generated by multiple factors. This requires reconfiguring inner organizational interactions, providing more autonomy to operative units, reinforcing business intelligence and improving feedback mechanisms.

Originality/value

This research study contrasts previous studies because it proposes that SNA be exploited to avail of the advantages it confers in designing the conceptual model. In this regard, we present new relationships to promote OR and provide new avenues in order to improve the analysis of adaptation processes.

Details

Business Process Management Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1463-7154

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Article
Publication date: 18 May 2021

Matjaž Maletič, Boštjan Gomišček and Damjan Maletič

Innovation is the backbone of sustainability. Although many efforts have been made to conceptualize sustainability-oriented innovations, the impact of these organizational…

Abstract

Purpose

Innovation is the backbone of sustainability. Although many efforts have been made to conceptualize sustainability-oriented innovations, the impact of these organizational practices on performance has not been adequately explored. This paper, therefore, aims to fill an important gap in the literature by exploring the relationship between sustainability innovation practices and performance outcomes. Specifically, this study examines the relationship between sustainability innovation practices, non-financial performance and economic performance.

Design/methodology/approach

This paper uses partial least squares path modeling (PLS-PM) to estimate both the direct and indirect effects of sustainability practices on economic performance. The data were collected on the basis of a large-scale survey of 266 European organizations.

Findings

The results show that sustainability innovation practices directly and indirectly influence economic performance through non-financial performance outcomes (i.e. innovation performance, environmental performance and social performance).

Originality/value

The scientific value of this paper is provided by showing that sustainability innovation practices lead to certain performance improvements and by providing a model to better understand the links between non-financial performance outcomes and economic performance.

Details

Management Research Review, vol. 44 no. 11
Type: Research Article
ISSN: 2040-8269

Keywords

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Abstract

Details

Applying Partial Least Squares in Tourism and Hospitality Research
Type: Book
ISBN: 978-1-78756-700-9

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