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Stakeholder management plays a significant role in successfully delivering construction projects. However, being able to carry out effective stakeholder management in construction is contingent upon understanding the interrelationships among critical success factors (CSFs) for stakeholder management in construction and how they are related to project success (PS). This would enable the persons responsible for stakeholder management to know the logical process for addressing the CSFs in order to get stakeholder management right. The understanding of this relationship has not been addressed. The purpose of this paper is to investigate the interrelationships between the CSFs for stakeholder management and PS in construction.

From an extensive literature review, 23 CSFs for stakeholder management in construction were identified. A conceptual structural equation model (SEM) of the relationships between CSFs was developed (including measurement and structural models) using the groupings of the CSFs for stakeholder management in construction. A questionnaire survey was used to collect data from construction industry practitioners. The data so collected were analysed using SEM in analysis of moment structures (AMOS).

The SEM analysis of data collected resulted in the best fitting measurement model comprising 16 CSFs as indicators of four latent variables, namely, stakeholder characteristics and project characteristics (SCPC); stakeholder analysis (SA); stakeholder dynamics (SD); and stakeholder engagement/empowerment (SE). Furthermore, it was found that only SE has a direct positive impact on PS. The other three constructs SCPC, SA and understanding SD collectively impact on PS through the construct, SE.

The research reported in this paper was carried out in the UK; hence, the findings may have portrayed the UK construction professionals’ opinion. However, the theoretical principles on which the research was based are general and similar research could be replicated in different countries whose construction procurement processes and industries are structured like those of the UK or otherwise.

The main contribution of this study to existing knowledge is an empirical evidence of the interrelationships among the CSFs for stakeholder management in construction through their latent variables which is portrayed in the best fitting structural model showing the relationships between the constructs of CSFs for stakeholder management and PS. This should serve as a guide to construction project management team or responsible professionals for undertaking stakeholder management in construction projects.

The paper contributes to theory by empirically identifying the interrelationships among the CSFs for stakeholder management linking to PS which will serve as a guide to construction professionals.

The purpose of this paper is to examine the interrelationships among the extracted constructs of airline service quality (SQ), perceived image, perceived value, passenger satisfaction and their influence on passengers’ future behavioral intentions in the domestic aviation sector market in Indian context.

A conceptual framework is developed based on previous studies. In order to address a lack of comprehensive evaluation of airline SQ, this study extracted the dimensions of airline SQ and used them in the structural model. The conceptual model is tested using structural equation modeling approach using maximum likelihood estimation technique. A sample of 526 domestic full-service passengers was used to test the hypothesized relationships among the constructs.

Out of the three dimensions of airline SQ extracted, convenience and promptness with reliability dimension of SQ was having a direct influence on perceived image, perceived value and passenger satisfaction which in turn influence BI. The findings of this study indicate the passenger evaluation process flows from perceived image to satisfaction via passenger perceived value and not directly from perceived image to passenger satisfaction. Only passengers’ satisfaction was found to have a direct influence on passengers’ future BI.

This study modified SERVPERF instrument for airline settings and empirically validated the instrument using data from Indian domestic passengers. This research adds to the body of knowledge by providing a conceptual framework which gives an empirical insight into the interrelationship among the constructs of airline SQ, perceived image, perceived value, passenger satisfaction and its effects on passenger’s future BI. The conceptual model developed and tested in this paper will act as a reference in forming suitable marketing strategies for airline’s competitive advantage.

The purpose of this paper is to study the influence of two climates for innovation constructs, namely, leadership and organisational culture, on workplace innovation and career satisfaction.

This study used structural equation modelling to test the data from 3,125 engineering professionals in the Australian Public Service (APS).

The structural model indicated that leadership for innovation and ambidextrous culture for innovation influenced workplace innovation which, in turn, improved career satisfaction. Moreover, modelling revealed a significant relationship between ambidextrous culture for innovation and career satisfaction. This study also investigated mediation effects and revealed both simple and sequential mediation paths in the model. It was found that improving workplace innovation and career satisfaction through recognition of an engineer’s contribution to their agency would assist in retaining and advancing in-house engineering expertise.

The structural model could be used to address current shortages of engineering professionals in the Commonwealth of Australia departments. The findings emphasise the importance of Commonwealth departments providing opportunities for their engineers to engage in creative and innovative projects which enhance their professional career.

This study fills the gap in the innovation literature by exploring the relationships through which socio-psychological factors affect workplace innovation and career satisfaction on the innovation process for engineering professionals in the APS.

The purpose of this paper is to understand and deliver the needs and wants of external customers. This being the case, we know quite a lot about one perspective of the value co-creation process (i.e. external customers’ perception) but very little about other stakeholder perspectives, in particular, internal customers’ perspectives of the value co-creation process.

This paper draws on the works of Edvardsson et al. (2011), Giddens (1984), Sweeney and Soutar (200), Helkkula et al. (2012), Herzberg et al. (1959) and Wolf (1970) to build a conceptual model of value creation developed specifically from the internal customer’s perspective.

The resultant conceptual model (shown in Figure 1) provides insight into the socio-structural and social exchange elements of the firm that provide the stimuli to value creation, which in the first instance, gratify (or not) the needs of internal customers and, secondly, influence the multi-dimensional value perceptions of internal customers.

The conceptual model of this paper provides a unique, pragmatic and useful framework for understanding how internal customers derive and perceive value within the social landscape of the firm. While empirical validation of the model is essential, the model, as presented herein, provides an excellent starting point for further investigation in this important, but largely under-researched, area.

The COVID-19 crisis has sped up digital transformation and technologies by several years. Customers have dramatically shifted to online channels, and businesses have quickly responded by offering additional canals for online shopping and payment. Customers have also been exhibiting greater preferences for contactless payments, and mobile banking has therefore become a norm in both developed and developing countries. This study aims to understand the antecedents of mobile banking actual usage in an early adoption stage setting (i.e. Morocco) through a comprehensive conceptual model combining the unified theory of acceptance and use of technology, the DeLone and McLean IS success model and additional constructs extracted from extent literature. The moderating effects of age, gender and education are also examined and analyzed using multigroup analysis.

Based on data collected from 616 Moroccan users, the authors empirically tested the proposed conceptual model using structural equation modeling.

First, consumer M-banking actual usage has a significant effect on customer satisfaction and attitudinal loyalty; at the same time, attitudinal loyalty was significantly influenced by customer satisfaction. Second, while M-banking actual usage was significantly influenced by effort expectancy, social influence, facilitating conditions, hedonic motivation, price value, habit, service quality, trust, attitude and perceived security, the results show no significant impact of system quality and information quality. Third, the relationship between M-banking actual usage and its antecedents was significantly moderated by age, gender and education.

The findings help bank practitioners to understand the importance of meeting customers’ needs and expectations as a prerequisite in enhancing actual usage, satisfaction and attitudinal loyalty. More importantly, the authors emphasize the need for demographically oriented strategies to target different demographic segments of customers.

The study bridges a gap in M-banking literature by offering a thorough understanding of consumers’ mobile banking use during the pandemic. The findings provide evidence of the applicability of the conceptual model proposed in this research. Furthermore, the reflection of the moderating effects of gender, age and education emphasizes the mobile banking usage disparities among dissimilar demographic segments.

Looking back on the last 12 years, the whole planet went through two major economic crises (2008 and 2019), which both had a profound impact on the survival of businesses. The present study aims to develop and empirically test a conceptual framework that investigates the factors that have an influence on firm survival. More specifically, the study proposes a three-dimensional framework that includes performance drivers (utilizing resource-based view [RBV] factors), performance measures and the measurement of firm survival. Such a multi-dimensional approach has very rarely been explored in the existing literature.

A thorough literature review revealed gaps in the literature and offered the basis for developing the proposed conceptual framework of the study. Its empirical examination (hypothesis testing) was conducted with the use of a newly developed structured questionnaire that was distributed to a group of Greek manufacturing organizations (the final sample consists of 364 manufacturing companies). Empirical data were analyzed using the “structural equation modeling” (SEM) technique (multivariate analysis) and other similar techniques (i.e. exploratory factor analysis and analysis of variance). The study is empirical (based on primary data), explanatory (examines cause and effect relationships), deductive (tests research hypotheses) and quantitative (includes the analysis of quantitative data collected with the use of a structured questionnaire).

On the one hand, empirical results point out that “manufacturing-marketing alignment,” “manufacturing capabilities,” “structural configuration” and “business performance under crisis” have the most significant impact and on short-term survival (current situation). On the other hand, “competitive advantage” and “business performance under crisis” have the most significant impact on long-term survival (future situation). Focusing on RBV factors, only “structural configuration” and “manufacturing capabilities” directly affect short-term survival, while “manufacturing–marketing alignment” has an indirect effect on the same factor. Then again, all RBV factors indirectly affect long-term survival. Also, it is confirmed that short-term survival strongly affects long-term survival.

The present study contributes to the debate concerning the antecedents of firm survival, since current empirical findings are quite inconsistent. Specifically, crucial performance drivers and other measures are incorporated into an original model, which reveals their synergies and their impact on the dynamic dimensions of firm survival. Additionally, it enhances the stream of research that investigates firm survival under crisis since very few similar empirical studies have been conducted. Finally, firm survival is not measured as a static concept but rather as a dynamic one (firm survival – current situation and firm survival – future situation). Overall, the final model can explain 35.2% of the variance in “firm survival – current situation” and 46.3% of the variance in “firm survival – future situation.”

The purpose of this paper is to present integrated generalized structured component analysis (IGSCA) as a versatile approach for estimating models that contain both components and factors as statistical proxies for the constructs. The paper sets out to discuss the how-tos of using IGSCA by explaining how to specify, estimate, and evaluate different types of models. The paper’s overarching aim is to make business researchers aware of this promising structural equation modeling (SEM) method.

By merging works of literature from various fields of science, the paper provides an overview of the steps that are required to run IGSCA. Findings from conceptual, analytical and empirical articles are combined to derive concrete guidelines for IGSCA use. Finally, an empirical case study is used to illustrate the analysis steps with the GSCA Pro software.

Many of the principles and metrics known from partial least squares path modeling – the most prominent component-based SEM method – are also relevant in the context of IGSCA. However, there are differences in model specification, estimation and evaluation (e.g. assessment of overall model fit).

Methodological developments associated with IGSCA are rapidly emerging. The metrics reported in this paper are useful for current applications, but researchers should follow the latest developments in the field.

To the best of the authors’ knowledge, this is the first paper to offer guidelines for IGSCA use and to illustrate the method's application by means of the GSCA Pro software. The recommendations and illustrations guide researchers who are seeking to conduct IGSCA studies in business research and practice.

This article deals with how to test for and evaluate interdependence among control practices in a management control system using structural equation modeling. Empirical research on the levers of control (LOC) framework is used as an example. In LOC research, a path model approach to interdependence has been developed. The appropriateness of this approach is evaluated, developed, and compared with the correlation of residuals approach (seemingly unrelated regression) implemented in the wider complementarity literature. Empirical examples of the different models are shown and compared by using a data set on LOC of 120 SBUs in Sweden. The empirical results show that modeling interdependence among control practices in a management control system as non-recursive (bi-directional) paths or as residual correlations evidently affects the conclusions drawn about interdependence in terms of both presence and magnitude. The two models imply different views on how to conceptualize interdependence and are not statistically and empirically comparable. If using non-recursive path models, several model specification issues appear. To be able to identify such models, this needs to be carefully considered in the theory and research design prior to data collection.

To propose a conceptual structural equation model to demonstrate the direct and indirect impact of supply chain participation strategy (SCPS), information technology application (ITA), manufacturing participation strategy (MPS) on customer satisfaction (CS) and organizational performance (OP) from a strategic perspective.

An empirical study is conducted through surveys of 109 senior managers from the top 800 manufacturing firms in Taiwan and the data collected are used to test the relationships expressed in the proposed structural equation model.

MPS planning plays a pivotal role in achieving OP in implementing the supply chain system. This demonstrates the strategic importance of integrating manufacturing (operations) with suppliers and customers in a supply chain system.

The current data were collected in Taiwan, and the distribution of the scale of the firms surveyed may be quite different from that in other countries. But it can be useful for managers' reference, especially for those whose firms are located in other countries where the circumstances are similar to those in Taiwan.

This application of conceptual structural equation model is a very useful source of information and a notice for managers to achieve greater success in implementing the supply chain systems.

This paper provides a useful conceptual structural equation model and points out a critical pivotal variable for managers to implement SCM more effectively to enhance the competitive advantage.

This research study explores the adoption of integrated sustainable SCM practices in the textile industry in India and its impact on the firm's business performance.

The analysis was carried out using the partial least squares structural equation modeling using SmartPLS 3.3.2.

It was found that the demand-side sustainability initiatives of the large firms and the internal sustainability practices of the small firms directly impacted their business performance. It was also found that the suppliers' sustainability initiatives had a direct and positive impact on the internal sustainability of the firm, which in turn had a direct and positive impact on the demand-side sustainability in the Indian textile industry.

The findings emphasize the distinctive role of each dimension of the integrated sustainable SCM on the firm performance in the Indian textile industry.