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Indirect or mediated effects constitute a type of relationship between constructs that often occurs in partial least squares (PLS) path modeling. Over the past few years, the methods for testing mediation have become more sophisticated. However, many researchers continue to use outdated methods to test mediating effects in PLS, which can lead to erroneous results. One reason for the use of outdated methods or even the lack of their use altogether is that no systematic tutorials on PLS exist that draw on the newest statistical findings. The paper aims to discuss these issues.

This study illustrates the state-of-the-art use of mediation analysis in the context of PLS-structural equation modeling (SEM).

This study facilitates the adoption of modern procedures in PLS-SEM by challenging the conventional approach to mediation analysis and providing more accurate alternatives. In addition, the authors propose a decision tree and classification of mediation effects.

The recommended approach offers a wide range of testing options (e.g. multiple mediators) that go beyond simple mediation analysis alternatives, helping researchers discuss their studies in a more accurate way.

The primary objective of this study is to analyze the correlation between the application of building information modeling (BIM), the construction project success (CPS) and project control. Additionally, this research aims to explore the potential mediating effect of project control on the link between BIM and construction project success in the Malaysian construction industry.

The present study employs a quantitative research methodology and adheres to a positivist research philosophy in order to examine the influence of BIM implementation on the CPS and project control within the Malaysian construction sector. The data were collected by structured questionnaire survey from 200 respondents using a purposive sampling strategy, and the results were analyzed by using partial least square (PLS)-structural equation modeling (SEM). The study's findings are all the more noteworthy since, despite the small sample size, 218 persons genuinely participated thanks to the purposive sampling approach.

The findings of this study indicate that there are notable and positive associations between various variables related to the implementation of BIM. These variables include accurate quantities and estimations, risk management, facility management integration, optimized resource allocation and real-time monitoring. Furthermore, these relationships are observed to have a significant impact on both CPS and project control. The study revealed that project control serves as a mediator in the relationship between the deployment of BIM and the CPS in the Malaysian construction sector, with the exception of its influence on risk management.

The originality of this research consists in examining the mediating function of project control in the relationship between BIM implementation and CPS. This study contributes to the existing knowledge by enhancing our understanding of the processes via which BIM positively influences project outcomes.

Researchers often attempt to assess how different features and content will improve the experience of web site users. One assessment technique is to measure the attitude toward the site. A common version of this measure is the Chen and Wells attitude toward the site scale. The purpose of this paper is to determine if there is a difference in performance between that scale and the less used Bruner and Kumar scale so that researchers might use the better of the two related, but different, published scales.

Analysis is done on survey data from an experiment utilizing three different experimental groups that all completed surveys with both the Chen and Wells and the Bruner and Kumar attitude toward the site scales. Scales are assessed for loading and reliability, as well as measures compared for equivalence within groups and used within partial least squares (PLS) models to compare overall model fit.

In all tests, the Bruner and Kumar scale is better than, or equivalent to, the Chen and Wells scale in each comparison.

The research implication is that the Bruner and Kumar scale would be a better choice when selecting scales for future research projects.

Although Bruner and Kumar had previously performed comparisons of the two scales, in a follow‐up article, this is the first paper to compare the two scales between three different groups and demonstrate how the two different scales would perform within the same conceptual model using PLS structural equation modeling. It will help researchers select the best scale for attitude toward the site.

The purpose of this paper is to define and analyze causal factors shaping the effectiveness of engineering, procurement and construction (EPC) major projects in meeting the product objectives, from the end-user’s perspective.

An online survey questionnaire was developed and administered to end-users working in major oil and gas projects. Data collection process was initiated on, around 275 end-users, and 213 responses were received, achieving a high response rate of 77 percent.

The results indicate that both alignment of objectives and end-user’s engagement factors exhibit a positive influence on effectiveness of EPC, with the former having higher contribution than the latter. In this context, the product success triangle reveals higher preference of the end-user’s team toward quality than schedule and cost objectives.

Shifting the efforts of involving the end-user forward in time, starting from the planning stage, alleviates the adverse impacts of design changes as well as increases the ability to save cost, improve performance and increase end-user’s satisfaction.

The model raises the awareness of oil and gas industry practitioners toward the critical factors influencing the project effectiveness and proposes useful techniques for maintaining proper alignment between project and product objectives as well as facilitating end-user’s engagement at the site level. As such, it can serve as a motivation tool for aligning the objectives and acknowledging the engagement, with the aim of achieving the product success.

The effectiveness of EPC structural model was developed and tested using PLS–structural equation modeling statistical technique. The interpretation of the structural model demonstrated that both end-user’s engagement and alignment of objectives are essential to successfully achieve project effectiveness.

The major purpose of this study is to investigate the role of Industry 4.0 in circular supply chain management (CSCM). The study also identifies variables that positively influence circular performance of a supply chain and examines the relationships among them.

This research uses a novel mixed-method exploratory methodology with sequential design. To understand the relationships among the enablers and the role of Industry 4.0 in circular performance of supply chain, a qualitative method (interpretive structural modeling) was utilized. Following the qualitative phase, a questionnaire based quantitative study was conducted and the hypothesized mediating relationships were evaluated through smart-PLS structural equation modeling tool.

The findings of interpretive structural modeling (ISM) model revealed the hierarchical relationships among the enablers of circular supply chain management based on their relative importance. The variables were clustered in three groups of driver, dependent and linkage variables. The results of the structural model indicated that Industry 4.0 play a mediating role between the driver and dependent variables that influence circular performance in a supply chain.

The research offers practical insights for supply chains moving in the direction of zero waste by highlighting the important variables that require actions from different stakeholders. The research also reveals the importance of integrating Industry 4.0 technologies in restorative and regenerative cycles of circular supply chain.

The originality of the research stems from the scarcity of research on circular supply chain management. The authors argue about the critical role that Industry 4.0 can play in achieving circularity in supply chains.

This study aims to examine the relationship between market orientation and product innovation and the mediating role of technological capability in this relationship. It also aims to examine the effect of market orientation on product innovation within the framework of technological intensity classification of the fields of business activity.

The research data were obtained from 186 senior and mid-level managers of 627 manufacturing firms that are widely considered to be innovative, and that are ranked among Turkey's largest 1,000 manufacturing firms (ISO 1000). The data were analyzed using partial least squares structural equation modeling.

Customer orientation and interfunctional coordination, two distinct dimensions of market orientation, had positive effects on product innovation. Technological capability played a mediating role in the effect of customer orientation and interfunctional coordination on product innovation. In addition, interfunctional coordination positively affected product innovation in firms with low technological intensity, whereas customer orientation positively affected product innovation in firms with medium-high technological intensity.

For the success of product innovations, firms should establish mechanisms to obtain information about customer needs and expectations and to disseminate and effectively use this information among organizational functions. They also need to improve their technological capabilities to effectively transform market knowledge into product innovation.

The relationship between market orientation and product innovation has been examined in previous studies; however, there is an insufficient number of studies on the mediating role of technological capability in this relationship. This study aimed to eliminate the gap in the literature regarding the mediating role of technological capability. In addition, innovation activities of firms vary depending on the technological intensity, but only a limited number of evaluations have been conducted on this subject. This study contributes valuable knowledge to the relevant literature by examining the impact of market orientation dimensions on product innovation according to technological intensity.

With new hybrid working models in place post COVID-19, it is requisite that knowledge workers (KWs) stay agile. Knowledge-oriented leadership (KOL) can help employees with essential knowledge acquisition (KA) facilitating the journey toward hybrid work agility (HWA). This study, thus, aims to explore the impact of KOL and KA on HWA and reveal whether this effect stems uniformly from a single homogenous population or if there is unobserved heterogeneity leading to identifiable segments of agile KWs.

Data was collected through stratified sampling from 416 employees from 20 information technology enabled services companies involved in knowledge-intensive tasks. Partial least squares (PLS) structural equation modeling approach, using SMART PLS 4.0, has been applied to examine the effect of KOL and KA on HWA. Finite mixture PLS, PLS prediction-oriented segmentation and multigroup analysis have been used to identify segments, test segment-specific path models and analyze the significance of the differences in the path coefficients for unobserved heterogeneity. Predictive relevance of the model has been determined using PLS Predict.

Results indicate that KOL contributes to employees’ KA and HWA. A significant positive relationship is also reported between KA and HWA. The model has medium predictive relevance. A two-segment solution has been delineated, wherein independent agile KWs (who value autonomy and personal agency over leadership for KA) and dependent agile KWs (who depend on leaders for relational and structural support for KA) have been identified. Thus, KOL and KA play a differential role in determining HWA.

The authors’ major contribution to the knowledge body constitutes the determination of antecedents of HWA and a typology of agile KWs. Future researchers may conduct segment-wise qualitative analysis to delineate other variables that contribute to HWA.

Technological advances necessitate that knowledge-intensive industries foster agility in employees for strategic agility of the organization. For effecting agile adaption of an organization to the knowledge economy conditions, it is pertinent that the full potential of this human resource be used. By profiling HWA of KWs on the basis of dimensions of KOL and the level of their KA, organizations will be able to help employees adapt better to rapidly changing work conditions.

HWA is a novel concept and very germane in a hybrid working environment. To the best of the authors’ knowledge, this is the first study to examine the effects of the dimensions of KOL and KA in relation to HWA, along with an empirical examination of unobserved heterogeneity in the aforementioned relationship.

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.

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.

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.

This paper provides updated guidelines of how to use PLS and how to report and interpret its results.

This study aims to identify the antecedent factors influencing consumer attitudes and patronage intentions toward an intelligent unmanned convenience store (IUCVS) in Taiwan. The IUCVS is a new smart service that offers customers a novel shopping experience, given that it avoids queues and physical contacts with cashiers. However, studies discussing IUCVS remain scant owing to its brief history.

This research develops a synergistic model combining original unified theory of acceptance and use of technology (UTAUT) constructs with perceived risk and value to test differences between unexperienced and experienced customers’ attitudes and patronage intentions toward IUCVSs. Data collected from 268 experienced and 156 unexperienced consumers were tested against the proposed research model using partial least squares (PLS) structural equation modeling and multi-group analysis (PLS-MGA).

In line with expectations, three UTAUT variables (i.e. performance, effort expectancy and social influence) and perceived value significantly and positively influence consumer attitudes toward IUCVSs. This research confirms the significant and negative direct effect of perceived risk on consumers’ patronage intentions toward IUCVSs. Furthermore, the PLS-MGA results unveil that a significant difference exist in the effects of perceived convenience value on attitudes toward IUCVS between consumers who had experience of using self-service machines and those who have not.

This research successfully fills the research gap by offering a synergistic model for evaluating consumers’ attitudes and patronage intentions toward a new smart service. Several important theoretical and practical implications are provided to help retail managers develop service strategies.

An individual’s standard of living is profoundly affected by industrialization and technology’s continuous revolution. At present, the environment is uncontrollable and global warming is increasing. Therefore, there is a need to protect the earth immediately as the lives of all creatures are at risk. The purpose of this paper is to determine the factors related to green purchase behavior (GPB) by incorporating religious values (RGV) as a moderator. Moreover, the moderating role of RGV has been incorporated so that the importance of RGV in the life of millennials can be examined.

Smart partial least square (PLS) has been used for data analysis, and PLS-structural equation modeling has been used to assess measurement and structural models.

The findings reveal that environmental concern, environmental knowledge and green perceived value positively and significantly affect attitude and subjective norm (SN). Moreover, attitudes toward the purchase of green products and SNs also show a positive and significant relationship with green purchase intention (GPI). In addition, GPI is also positively and significantly associated with GPB. However, green brand knowledge portrays a positive but insignificant relationship with attitude and SN. Finally, RGV does not strengthen the relationship between intention and behavior.

Religion is a strong predictor of individual behavior as people are emotionally connected with Islam’s teachings. Therefore, the study provides a unique contribution by adding RGV as a moderator in the model of TRA. Also, the authors targeted the specific generation, i.e. millennials, so that millennials’ behavior can be identified as it covers Pakistan’s large population. Also, millennials are the people who are more involved in decision-making.