Pedro Ruivo, Tiago Oliveira and André Mestre
The purpose of this paper is to develop and test a theoretical model to measure the impact of enterprise resource planning (ERP) and customer relationship management (CRM) systems…
Abstract
Purpose
The purpose of this paper is to develop and test a theoretical model to measure the impact of enterprise resource planning (ERP) and customer relationship management (CRM) systems and moderating relationships of system and process integration on business value.
Design/methodology/approach
ERP and CRM systems are analysed with the resource-based view theory and measured by their impact on business value, having in consideration the moderation of system and process integration. The model was tested and analysed with data collected by Microsoft, from firms that have adopted both ERP and CRM systems in their organisation.
Findings
ERP system is found to be an important asset to business value, but CRM systems’ impact on business value is found to be not significant. System integration as moderator of ERP or CRM system is found to be not significant but has a positive and significant impact on business value. For process integration, the study finds that it is significant only when moderating the CRM system variable.
Research limitations/implications
The model shows that the moderating effects of system and process integration are important variables for understanding the joint business value of ERP and CRM.
Practical implications
Adopting an ERP system and ensuring system integration provides a direct impact on business value. In order for a CRM system to have a positive impact on business value, process integration with ERP system must be ensured.
Originality/value
This study provides new knowledge on how ERP and CRM systems used together may positively influence value from IT investments, and how systems integration and process integration provide business value.
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Pedro Ruivo, Tiago Oliveira and Miguel Neto
Consistent with the diffusion of innovation (DOI) model and resource‐based view (RBV) theory, the purpose of this paper is to develop a research model for measuring enterprise…
Abstract
Purpose
Consistent with the diffusion of innovation (DOI) model and resource‐based view (RBV) theory, the purpose of this paper is to develop a research model for measuring enterprise resource planning (ERP) post‐adoption and its consequence on small and medium enterprise (SME) performance.
Design/methodology/approach
The model links six determinants based on DOI to explain “ERP use” and three on RBV to explain the “ERP value”, on which nine hypotheses are postulated. Testing was conducted through structural equation modelling, utilizing data from 558 web‐surveyed firms in Portugal and Spain.
Findings
Full sample analysis finds that competitive pressure, training, best‐practices, compatibility, and efficiency are important antecedents of “ERP use”. Together with usage, collaboration and analytics capabilities contribute to “ERP value”. Cross‐country analysis reveals that complexity is an important inhibitor for “ERP use” in Portuguese firms whereas it is a facilitator for Spanish firms. In addition, while for Portuguese firms, compatibility and efficiency are significant, they are not for Spanish firms. For “ERP value”, while use and collaboration are more important for Portuguese firms, analytics is more important for Spanish.
Research limitations/implications
The paper provides insight into how SMEs use and value ERP; however, the authors cannot speak empirically on the issue of whether value is sustained, or on maturity stages, or on the impact of different industries.
Originality/value
The paper describes the first empirical research study on Iberian SMEs, thus adding a cross‐country dimension to the innovation diffusion literature. Unlike the typical focus on ERP adoption found in the literature, this paper focuses on post‐adoption stages, linking usage with value.
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Dieudonné Tchuente and Anass El Haddadi
Using analytics for firms' competitiveness is a vital component of a company's strategic planning and management process. In recent years, organizations have started to capitalize…
Abstract
Purpose
Using analytics for firms' competitiveness is a vital component of a company's strategic planning and management process. In recent years, organizations have started to capitalize on the significant use of big data for analyses to gain valuable insights to improve decision-making processes. In this regard, leveraging and unleashing the potential of big data has become a significant success factor for steering firms' competitiveness, and the related literature is increasing at a very high pace. Thus, the authors propose a bibliometric study to understand the most important insights from these studies and enrich existing conceptual models.
Design/methodology/approach
In this study, the authors use a bibliometric review on articles related to the use of big data for firms' competitiveness. The authors examine the contributions of research constituents (authors, institutions, countries and journals) and their structural and thematic relationships (collaborations, co-citations networks, co-word networks, thematic trends and thematic map). The most important insights are used to enrich a conceptual model.
Findings
Based on the performance analysis results, the authors found that China is by far the most productive country in this research field. However, in terms of influence (by the number of citations per article), the most influential countries are the UK, Australia and the USA, respectively. Based on the science mapping analysis results, the most important findings are projected in the common phases of competitive intelligence processes and include planning and directions concepts, data collection concepts, data analysis concepts, dissemination concepts and feedback concepts. This projection is supplemented by cross-cutting themes such as digital transformation, cloud computing, privacy, data science and competition law. Three main future research directions are identified: the broadening of the scope of application fields, the specific case of managing or anticipating the consequences of pandemics or high disruptive events such as COVID-19 and the improvement of connection between firms' competitiveness and innovation practices in a big data context.
Research limitations/implications
The findings of this study show that the most important research axis in the existing literature on big data and firms' competitiveness are mostly related to common phases of competitive intelligence processes. However, concepts in these phases are strongly related to the most important dimensions intrinsic to big data. The use of a single database (Scopus) or the selected keywords can lead to bias in this study. Therefore, to address these limitations, future studies could combine different databases (i.e. Web of Science and Scopus) or different sets of keywords.
Practical implications
This study can provide to practitioners the most important concepts and future directions to deal with for using big data analytics to improve their competitiveness.
Social implications
This study can help researchers or practitioners to identify potential research collaborators or identify suitable sources of publications in the context of big data for firms' competitiveness.
Originality/value
The authors propose a conceptual model related to big data and firms' competitiveness from the outputs of a bibliometric study.
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Pedro Serrano Rodríguez and Luis Felipe González Böhme
As is well known, architectural design pedagogy persistently demands to look outside the classroom for real-world problems to deal with, and exemplary solutions to learn from…
Abstract
As is well known, architectural design pedagogy persistently demands to look outside the classroom for real-world problems to deal with, and exemplary solutions to learn from. Studio-based learning alternately takes place between indoor and outdoor environments as well as built and natural environments. Especially the use of outdoor workspaces where students may generate and test their design proposals strengthens the case for a better understanding of human habitability and environmental sustainability. Nonetheless, outdoor activities are traditionally confined to on-site information gathering, whereas design and evaluation processes are carried out indoors simply as a desk-bound activity. In these cases, the empirical evidence to back up the problem modeling and the design decisions made inside the studio classroom is missing. In mainstream architecture education, indoor and outdoor learning experiences are operationally dissociated. The intent to create real outdoor studio classrooms not only opens a new research field in learning space design, but new challenges to the studio-based learning culture. We expose a few exemplary cases from an ongoing series of trials, started in 1999 by the Department of Architecture at the Universidad Técnica Federico Santa María, to assess the effective integration of outdoor learning environments with our local studio-based learning culture.
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Ayman Wael Alkhatib and Marco Valeri
This study explores the connection between intellectual capital (IC) components and the competitive advantage (CA) of the hospitality sector in Jordan through the mediating role…
Abstract
Purpose
This study explores the connection between intellectual capital (IC) components and the competitive advantage (CA) of the hospitality sector in Jordan through the mediating role of service innovation as well as the moderating role of big data analytics capabilities.
Design/methodology/approach
Data were collected through a self-administered questionnaire from the hospitality sector with a sample of 402 respondents. Data were analysed using SmartPLS, a bootstrapping technique was used to analyse the data. The mediating effect for service innovation and the moderating effect for big data analytics capabilities were performed.
Findings
The results showed that the proposed moderated-mediation model was accepted because the relationships between the constructs were statistically significant. The results of the data analysis supported a positive relationship between human capital, structural capital and relational capital and the CA as well as a mediating effect of service innovation. The findings confirmed that there is a moderating relationship for big data analytics capabilities between service innovation and CA. The results illustrate the importance of IC and service innovation in enhancing CA in the Jordanian hospitality sector in light of the big data analytics capabilities.
Research limitations/implications
This cross-sectional study provides a snapshot at a given moment in time, a methodological limitation that affects the generalisation of the limitation's results, and the results are limited to one sector.
Originality/value
This research developed a theoretical model to incorporate IC components, service innovation, big data analytics capabilities and CA. This paper offers new theoretical and practical contributions that add value to the innovation and CA literature by testing the moderated-mediation model of these constructs in the hospitality sector which has been greatly affected by the coronavirus disease 2019 (COVID-19) pandemic. This study is distinguished from other studies by highlighting the role of IC and service innovation in enhancing CA as service innovation contributes to the formation of many organisational advantages in the Jordanian hospitality sector.