Search results

Prior research in tourism and hospitality domain calls for closer attention to model specification when using partial least square-structural equation modeling (PLS-SEM), including the choice of software and algorithm for PLS model estimation. This paper aims to illustrate the significance of choosing appropriate algorithms for testing the nature of relationships by comparing findings using two different PLS-SEM software packages.

Using a field experiment, relationships between visual servicescape aesthetics and affective responses are conceptualized based on literature in environmental psychology and marketing domains. With photographic surrogates as stimuli in two different hospitality service contexts – spa and upscale restaurant – data are collected from 350 respondents.

By comparing results of SmartPLS 3.2 and WarpPLS 5.0 software and theoretical understanding from environmental psychology literature, it is illustrated that the results and their interpretations may not be in line with theory if model specifications are not correctly implemented and are not addressed through usage of software with a relevant algorithm to test them.

The study highlights the implications for model specification issues such as type of variables and nature of relationships that tourism and hospitality researchers often face and also how use of appropriate algorithms can overcome limitations of model testing for complex models and provide empirical rigor to support theory.

本论文使用两种不同的PLS-SEM处理软件来测试理论模型。通过解析模型设定参数问题, 特别是通过结构关系本性分析, 本论文指出选择合适的软件测试模型在酒店旅游领域的PLS研究中是非常关键的。

本论文借助图像拍摄手段采用实验的采样方式, 在两个不同的酒店服务场所—按摩和高档餐厅—搜集350份数据。本论文采用Smart PLS 3.2 和Warp PLS 5.0 软件来测试PLS-SEM。 这两款软件支持线性和非线性理论关系的比较。

通过Smart PLS 3.2 和Warp PLS 5.0 软件得出的报告结果分析, 不同软件处理PLS得出的结果可能有偏差, 而且会不符合理论设定。如果模型设定参数不正确, 通过使用合适的PLS-SEM软件和相关的数据分析加以辅助, 可能会解决参数不正确的问题。

本论文的比较分析结果可能会帮助到酒店和旅游领域的研究者们, 在做对有关PLS-SEM软件选择的时候, 哪些软件可以更加合适的测试模型有着参考意义。

本论文重点指出了模型设定参数的相关问题, 比如旅游酒店领域常见的变量种类和关系属性等。本论文还研究了如何选择合适的数据分析方法来克服测试复杂模型时的限制, 并且提供实践结果来支撑理论。

The purpose of this paper is to develop a structural relationship model to study the relationship between causes and effects of poor communication and information exchange in construction projects using Smart-PLS.

The first method of this research is to identify the causes and effects factors of poor communication in construction projects from the extant of literature. The data used to develop the model was collected using a questionnaire survey, which targeted construction practitioners in the Malaysian construction industry. A five-point Likert type scale was used to rate the significance of the factors. The factors were classified under their relevant construct/group using exploratory factor analysis. A hypothetical model was developed and then transformed into Smart-PLS in which the hypothetical model suggested that each group of the cause factors has a direct impact on the effect groups. The hypothesis was tested using t-values and p-values. The model was assessed for its inner and outer components and achieved the threshold criterion. Further, the model was verified by engaging 14 construction experts to verify its applicability in the construction project setting.

The study developed a structural equation model to clarify the relationships between causes and effects of poor communication in construction projects. The model explained the degree of relationships among causes and effects of poor communication in construction projects.

The published academic and non-academic literature introduced many studies on the issue of communication including the definitions, importance, barriers to effective communication and means of poor communication. However, these studies ended up only on the general issue of communication lacking an in-depth investigation of the causes and effects of poor communication in the construction industry. The study implemented advanced structural modeling to study the causes and effects. The questionnaire, the data and concluding results fill the identified research gap of this study. The addressed issue is also of interest because communication is considered one of the main knowledge areas in construction management.

This study aims to explore the impact of digital transformation on firm performance with the help of smart technologies.

This study used a valid and well-structured survey to collect data from 460 respondents from 150 Small and medium-sized enterprises (SMEs) in Saudi Arabia. In order to analyze this data, SmartPLS software was used.

The empirical results of this study found that the digital transformation has no significant direct impact on firm performance. Therefore, in this situation, smart technologies play an important role in developing the link between digital transformation and firm performance.

This study contributes to the digital supply chain from SMEs' perspective by investigating the mediating role of smart technologies between digital transformation and firm performance.

In contrast to existing studies, this paper aims to propose that digital transformation does not depend on a single condition; rather, it depends on the interaction between internal and external factors of a firm. Therefore, the aim of this paper is to examine the effect of a combination of internal and external factors on a firm's digital transformation intention.

An empirical analysis on a sample of 112 Chinese small- and medium-sized firms was conducted by applying smart-PLS and fuzzy set qualitative comparative analysis (fsQCA).

The results of smart PLS show that external pressures (institutional and market pressures) and human capital have a positive impact on corporate digital transformation intentions. From a combination perspective, the results of the fsQCA show that there are five causal conditions that lead to high digital transformation intention. In contrast to the net effect, the results of fsQCA show that different combinations of states of internal (human capital, organizational culture and technological capital) and external elements (institutional and market pressures) of the firm are likely to stimulate digital transformation intention.

This study provides empirically based insights into firms' digital transformation intentions and advances the current understanding of the drivers and inhibitors of digital transformation. Unlike most current research, which tends to focus on the net effect of factors influencing the digital transformation of enterprises, this study focuses on identifying the core elements influencing enterprises' digital transformation intention, especially the joint effect of different factors, both internal and external to the enterprise. The combined SEM and fsQCA findings of this paper not only enrich the existing theories on digital transformation but also have high value in guiding the digital transformation of firms.

Bicycle sharing offers a novel way to create smart and sustainable mobility solutions for the future. The purpose of this study is to draw on the Unified Theory of Acceptance and Use of Technology 2 (UTAUT 2) framework for identifying the factors necessary to predict bike-sharing intention among users in India.

Data were collected through a questionnaire distributed across four major cities in India, and 515 responses were analyzed. A sequential approach was employed to analyze the data using Partial Least Square–Structural Equation Modeling (PLS-SEM) and Fuzzy-set Qualitative Comparative Analysis (fsQCA).

The findings from PLS analysis revealed that performance expectancy, effort expectancy, facilitating conditions, hedonic motivation and price value are the salient variables that affect users' intentions to participate in bike sharing. In addition, based on fsQCA, six configurations of causal conditions are presented as intermediate solutions that produce the same results. Although antecedent conditions, such as habit and social influence, had an insignificant effect on individuals' BSI, they create conditions sufficient to encourage users' participation in bike sharing in combination with other variables.

A few limitations of this research and the implications of the findings in terms of theory and policy implications are also discussed.

The reported study is one of the earliest to explain bike-sharing adoption in India using the UTAUT 2 model.

The purpose of this paper is to develop a comprehensive research model that can explain potential customers’ behavioral intentions to adopt and use smart home services.

This study proposes and validates a new theoretical model that extends the theory of planned behavior. Partial least squares analysis is employed to test the research model and corresponding hypotheses on data collected from 216 survey samples.

Mobility, security/privacy risk, and trust in the service provider are important factors affecting the adoption of smart home services.

To increase potential users’ adoption rate, service providers should focus on developing mobility-related services that enable people to access smart home services while on the move using mobile devices via control and monitoring functions.

This study is the first empirical attempt to examine user acceptance of smart home services, as most of the prior literature has concerned technical features.

This study aims to identify the effects of innovation types on the service firm’s financial and nonfinancial performance as well as mediation and moderation effects of innovation and the firms’ performance linkages in the Indian service sector.

This study uses combined data from the World Bank innovation survey 2014 and World Bank enterprise survey (WBES) 2014 for India. It classified innovations into technological innovation (service and process) and nontechnological innovation (organizational and marketing) and used financial and nonfinancial performance measures. This study applies variance-based partial least square structural equation modeling (PLS-SEM) using Smart PLS 3 software.

The study results suggest that service innovation has the highest significant effect on a firm’s financial and nonfinancial performance, followed by process innovation. Marketing and organizational innovation have a long route to contribute to a firm’s financial performance via innovative and nonfinancial performance. The study results do not find any synergy effects of innovation types. Multi-group analysis (MGA) results suggest several significant distinctions in the path relationships between small and medium-sizes and large firms.

This study provides several crucial policy suggestions for the managers and policymakers concerning the effects of service and process innovation on service firms’ performance in India and the mediating factors of these relationships. The study suggests that managers should pay the highest importance to service innovation to swiftly and markedly surge service firms’ financial and nonfinancial performances. In contrast, a service firm’s innovative performance mainly results from its organizational and marketing innovations.

The purpose of this research paper is to establish the impact of process and service innovation on non-financial and financial performance in the tourism sector, as well as to explain the mediating role of organizational learning.

A quantitative approach was used, based on partial least squares–structural equation modeling (PLS-SEM), Smart PLS 4.0 software. The sample consisted of 426 establishments in the tourism sector in Zone I, Ecuador. Online surveys were employed to collect data, yielding 118 responses, to assess the impact of innovation on business performance from 2020 to 2022.

Process and service innovation positively and significantly affect non-financial and financial performance, respectively. Organizational learning mediates the relationship between process innovation and disservice. The relationship between non-financial and financial performance could not be confirmed. The model explains 53.10% of non-financial performance and 26.10% of financial performance.

The relationship between innovation and performance in the tourism sector has been studied in several developed economies, while little has been studied in developing countries. This work contributes to an empirical discussion including a mediating variable in the innovation–performance relationship in the Latin American context.

El propósito de esta investigación es establecer el impacto de la innovación de procesos y servicios en el desempeño no financiero y financiero en el sector turístico, así como explicar el papel mediador del aprendizaje organizacional.

Se utilizó un enfoque cuantitativo, basado en el software PLS SE M, Smart PLS 4.0. La muestra estuvo constituida por 426 establecimientos del sector turístico de la Zona I, Ecuador. Se aplicaron encuestas en línea para recopilar datos, que arrojaron 118 respuestas, para evaluar el impacto de la innovación en el desempeño empresarial de 2020 a 2022.

La innovación de proceso y de servicio afecta positiva y significativa al desempeño no financiero y financiero, respectivamente. El aprendizaje organizacional media la relación entre innovación de proceso y des servicio. No se pudo confirmar la relación entre desempeño no financiero y financiero. El modelo explica el 53.10% del desempeño no financiero y el 26.10 del desempeño financiero.

La relación entre innovación y rendimiento en el sector turístico se ha estudiado en varias economías desarrolladas, mientras que en los países en desarrollo se ha estudiado poco. Este trabajo contribuye a una discusión empírica incluyendo una variable mediadora en la relación innovación-desempeño en contexto latinoamericano.

This study aims to examine the relationship between green technology implementation (GTI), knowledge management (KM) process and knowledge workers' operational performance (KWOP). The research postulates that a specific combination of GTI and KM processes can lead to improving KWOP.

The sample data (304) were taken from those manufacturing firms that are utilizing green technology. The examination was conducted by Smart PLS-SEM and fuzzy set qualitative comparative analysis (fsQCA). The Smart PLS 3.29 is used to verify certain variable relationships. Moreover, fsQCA is used to investigate multiple configuration paths to enhance KWOP.

The study's outcome indicated that GTI positively influences the KM process in manufacturing firms, and the KM process enormously improves KWOP. The fsQCA analysis result explores various integrations (communication, collaboration, supporting role and improved performance) with the KM (acquisition, sharing and utilization) process identified to enhance the performance of KWOP. The current study supports two merging methods to deepen understanding of employee operational performance.

The study methodologically contributes by integrating direct and configuration approaches to develop firms' operational performance. This study contributes to bridging research gaps in the prior literature and advances insight into the association between GTI, KM process and KWOP.

This study examines the effects of both technological and non-technological innovations on the overall performance of Indian manufacturing firms, and identifies the mediation and synergy effects in the relationship between innovation and performance.

The study applies the partial least squares structural equation modelling (PLS-SEM) technique using Smart PLS3 on a combined data set from the World Bank Enterprise Survey and the follow-up Innovation Survey for India in 2014. Different newly developed statistical tests [PLS predict, importance performance map analysis (IPMA), multi-group analysis (MGA) and confirmatory tetrad analysis PLS (CTA-PLS)] have been used to check the robustness of the empirical results.

The results of the study suggest that technological innovations (product and process innovation) significantly affect a firm's overall performance, and that innovation strategy significantly mediates the effects, whereas the effects of non-technological innovations (marketing and organisational innovation) on a firm's performance are fully mediated by innovative performance. IPMA results suggest that technological innovations and their respective strategies are very important in improving a firm's performance, whereas non-technological innovations have great importance for increasing the innovative performance of the firms. The MGA results suggest that there are several distinctions in the path relationship and mediation effect among a firm's segment based on technology intensity and firm size. The study results do not find that innovation types have significant synergy effects on a firm's performance.

The study results suggest that managers should focus on technological innovations, along with their respective strategies to improve the overall performance of a firm, whereas non-technological innovations should be given priority for increasing the firm's innovative performance. Moreover, while making policy regarding innovation the people concerned should bear in mind which segment of the firms they are dealing with, as the effects differ across a firm's technology-intensity and size.