Partial least squares path modeling: Quo vadis?

Henseler, Jörg

doi:10.1007/s11135-018-0689-6

Cited by 389 publications

(293 citation statements)

References 40 publications

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“…( [55], p. 144) recommend using PLS-SEM "if the goal is predicting key target constructs or identifying key 'driver' constructs," as in our case. Similarly, other authors suggest that PLS-SEM is appropriate when the research has a predictive purpose [56][57][58][59] and an explanatory purpose [60], as is the case with our study. In this study, age is a categorical variable that integrates two groups: millennials and nonmillennials.…”

Section: Data Analysis Processsupporting

confidence: 80%

Key Factors for In‐Store Smartphone Use in an Omnichannel Experience: Millennials vs. Nonmillennials

et al. 2018

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The in-store use of smartphones is revolutionizing the customer journey and has the potential to become an important driver in the omnichannel context. This paper aims at identifying the key factors that influence customers' intentions to use smartphones instore and their actual behavior and to test the moderating effect of age, differentiating between millennials and nonmillennials, as millennials are considered digital natives and early adopters of new technologies. We applied the UTAUT2 model to a sample of 1043 Spanish customers, tested it using structural equations, and performed a multigroup analysis to compare the results between the two groups. The results show that the model explains both the behavioral intention to use a smartphone in a brickand-mortar store and use behavior. The UTAUT2 predictors found to be most important were habit, performance expectancy, and hedonic motivation. However, the study shows that the only difference between millennials and nonmillennials with regard to the use of smartphones in-store is the effects of behavioral intention and habit on use behavior. The study adds to the existing knowledge by providing evidence in support of the validity of UTAUT2 as an appropriate theoretical basis to explain effectively behavioral intention, specifically the in-store use of smartphones.

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Section: Data Analysis Processsupporting

confidence: 80%

Key Factors for In‐Store Smartphone Use in an Omnichannel Experience: Millennials vs. Nonmillennials

et al. 2018

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“…Hair et al (2011) recommend using PLS-SEM "if the goal is predicting key target constructs or identifying key 'driver' constructs" (p. 144), as in our case. Similarly, other authors suggest that PLS-SEM is appropriate when the research has a predictive purpose (Cepeda et al, 2016;Shmueli et al, 2016) and an explanatory purpose (Henseler, 2018), as is the case with our study. Smart PLS 3.0 (Ringle et al, 2015) was used to evaluate the reliability and validity of the measurement model and analyze…”

Section: Data Analysis and Resultssupporting

confidence: 78%

Understanding the Determinants for the Adoption of Mobile Market Research: An Empirical Study in the Spanish Market Research Industry

2020

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The aim of this study is to investigate the determinants for the intention to adopt mobile technology as a data collection methodology in market research projects. A conceptual framework was developed using the technology-organization-environment (TOE) model to identify technological factors (perceived benefits and limitations), organizational factors (open attitude toward change, professional competence, satisfaction with traditional systems, and firm size), and environmental factors (industry pressure, client pressure, and participant pressure) affecting adoption. The empirical study was performed with data from 67 firms in the Spanish market research industry, which were analyzed using partial least squares (PLS). The results suggest that only organizational and environmental factors have a significant influence on adoption. Key factors include professional competence, organizational openness, satisfaction with traditional and online methodologies, and pressure from industry, clients and survey participants. The findings reveal that technological characteristics are no longer a driver, as firms are starting to adopt mobile marketing research based on its greater convenience for participants, and as an element of strategic differentiation.

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“…Additionally, using the PLS characteristic of exploration [70], this paper explores the moderating role exerted by PACAP on the RACAP-GIPr and RACAP-GIPc links. The reason underlying this supplementary analysis roots in the fact that [14,71]'s seminal conceptualizations of absorptive capacity are essentially conceptual models, not path diagrams, and consequently they may admit more than one interpretation in data analysis.…”

Section: Additional Interaction Analysismentioning

confidence: 99%

Potential and Realized Absorptive Capacity as Complementary Drivers of Green Product and Process Innovation Performance

et al. 2018

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Nowadays, companies need to absorb new knowledge from external sources to grasp environmental issues. However, the internal mechanisms through which external knowledge is turned into green innovations remain scarcely addressed. Hence, this paper aims to investigate the relationships between the two dimensions of absorptive capacity (potential and realized) with green products and process innovation performance. This study contributes to the literature by disentangling how companies need to acquire, assimilate, transform and exploit external environmental knowledge to develop green innovations. To this aim, this empirical study is based on a sample shaped by 112 firms belonging to the Spanish automotive components manufacturing sector. The results provide evidence to show that potential and realized absorptive capacities are positively related to both green product innovation performance and green process innovation performance.

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Partial least squares path modeling: Quo vadis?

Cited by 389 publications

References 40 publications

Key Factors for In‐Store Smartphone Use in an Omnichannel Experience: Millennials vs. Nonmillennials

Key Factors for In‐Store Smartphone Use in an Omnichannel Experience: Millennials vs. Nonmillennials

Understanding the Determinants for the Adoption of Mobile Market Research: An Empirical Study in the Spanish Market Research Industry

Potential and Realized Absorptive Capacity as Complementary Drivers of Green Product and Process Innovation Performance

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