Daniel Palacios-Marqués, Simona Popa and María Pilar Alguacil Mari
The purpose of this paper is to explore the effect of online social networks and competency-based management on innovation capability.
Abstract
Purpose
The purpose of this paper is to explore the effect of online social networks and competency-based management on innovation capability.
Design/methodology/approach
The paper is theory-confirming. Theoretical relationships were tested using an empirical study of 289 firms from the Spanish biotechnology and telecommunications industries.
Findings
Results confirm that online social network use for internal cognitive processes (e.g. reading, searching and storing information) and external cognitive processes (e.g. sharing and co-creating knowledge) positively affects knowledge transfer. This knowledge helps firms to achieve superior competency in R&D to succeed in innovation programs.
Research Limitations/implications
All survey respondents were from Spain, which may limit the generalizability of findings. A longitudinal approach was not used. However, doing so would make it possible to explore time lags between online social network use, competency-based management and innovation.
Practical Implications
This paper highlights the potential as well as the limitations of online social networks and competency-based management in promoting innovation capability. Businesses must consciously manage the assimilation and use of online social networks to benefit from them.
Originality/value
The study contributes to the literature by identifying effects on innovation capability at the meso-level (i.e. online social networks). Findings highlight the need for a shift in focus away from collaborating and interacting in online social networks (micro-level) and organizational contexts (macro-level) so as to improve innovation capability.
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Simona Popa, Pedro Soto-Acosta and Daniel Palacios-Marqués
This paper aims to examine the effect of technological, organizational and environmental factors on the level of innovation outcomes in manufacturing small- and medium-sized…
Abstract
Purpose
This paper aims to examine the effect of technological, organizational and environmental factors on the level of innovation outcomes in manufacturing small- and medium-sized enterprises (SMEs).
Design/methodology/approach
Drawing on the technology-organization-environment theory this paper conducts a discriminant analysis of firms’ innovation level based on a data set of manufacturing SMEs.
Findings
The results show that low- and high-innovative firms can be distinguished in terms of information technology (IT) knowledge and infrastructure, commitment-based human resources (HR) selection practices, exploitative innovation and organizational capital.
Practical implications
The study findings support the idea that innovation is a complex phenomenon explained by multiple factors. As a consequence, firms need to devote extra efforts to develop IT knowledge and infrastructure, commitment-based HR selection practices and organizational capital because these are crucial for obtaining greater innovation outcomes. In addition, the identification of exploitative innovation as a strong discriminant variable highlights that the most effective way to be a highly innovative SME is through incremental innovation, which permits the firm to capitalize as much as possible on previous exploratory efforts.
Originality/value
Although many studies have highlighted that innovation is more challenging for SMEs than for their larger counterparts, the vast majority of studies has been conducted in large companies. This paper extends prior literature by analyzing the discriminant variables that may distinguish between low- and high-innovative manufacturing SMEs.
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Maria Orero-Blat, Daniel Palacios-Marqués and Antonio L. Leal-Rodríguez
This study aims to explore the factors that influence the development of big data analytics capabilities (BDAC) in organizations, an area that has received limited attention in…
Abstract
Purpose
This study aims to explore the factors that influence the development of big data analytics capabilities (BDAC) in organizations, an area that has received limited attention in the academic literature.
Design/methodology/approach
Employing partial least squares structural equation modeling, this research scrutinizes the interconnections between various antecedents and BDAC. Notably, it examines the mediating roles of organizational culture (OC) and digital maturity (DM) in the nexus between managerial data orientation and BDAC.
Findings
Analysis indicates that OC and DM play crucial roles in enhancing the efficacy of managerial data orientation on BDAC. The sequential mediation by these factors underscores the importance of nurturing an appropriate OC and advancing DM to optimize the benefits of managerial data orientation towards BDAC.
Practical implications
The findings bear significant implications for organizational practice. They underscore the necessity of enhancing managerial analytical skills and commitment to digital transformation. Furthermore, the study highlights the critical need for aligning OC with strategic objectives and the digital context. The formulation of a cultural strategy that advocates for a data-driven mindset and champions digital initiatives is essential for fostering BDAC development, thereby bolstering organizational performance and competitiveness in the big data era.
Originality/value
This study enriches the body of literature by illuminating the overlooked antecedents of BDAC. It extends the discourse on the human-centric aspects of digital transformation, offering insights into how managerial data orientation can be effectively translated into improved BDAC. This innovative angle deepens our comprehension of the strategies through which organizations can leverage big data technology for value creation and informed decision-making, emphasizing the pivotal role of OC and the requisite digital competencies and resources.
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Manlio Del Giudice, Elias G. Carayannis, Daniel Palacios-Marqués, Pedro Soto-Acosta and Dirk Meissner
Samuel Ribeiro-Navarrete, Daniel Palacios-Marqués, José María Martín Martín and José Manuel Guaita Martínez
This study contributes to the limited literature on crowdlending by providing a data-driven analysis of the sector. A synthetic DP2 indicator is proposed to identify the leaders…
Abstract
Purpose
This study contributes to the limited literature on crowdlending by providing a data-driven analysis of the sector. A synthetic DP2 indicator is proposed to identify the leaders of the crowdlending market, the key factors behind their success and the medium-term competitive implications.
Design/methodology/approach
The study examines 17 crowdlending platforms and eight performance indicators. The information provided by these indicators is aggregated using a synthetic indicator based on the P2 Distance (DP2) method.
Findings
Mintos, Evoestate, Peerberry, Bondster and Fellow Finance are the leading platforms. This method reveals the key variables in the identification of market leaders, namely year-on-year variation in the number of investors and year-on-year variation in lending per investor. The leaders in terms of lending volumes should not take their current situation for granted. Small and medium-sized platforms are pushing hard and may overtake the incumbents as market leaders.
Practical implications
Financial intermediation through crowdlending is becoming an increasingly popular alternative to traditional models. Changes in the sector are expected in the coming years due to the rise of platforms with a moderate amount of lending and solid year-on-year improvement. To become leaders and to attract both lenders and borrowers, platforms are encouraged to improve the information that they provide.
Originality/value
This paper offers the first analysis of market leadership in the crowdlending sector. It analyses the competitive market of the crowdlending sector based on its actors and key factors. These factors explain the differences in the market position of different platforms. Based on this analysis, the trends in this sector can be identified. This study is exploratory, so it offers empirical data that can be useful in the development of theories that apply to the sector.
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Daniel Palacios-Marques, Maria Guijarro and Agustin Carrilero
The purpose of this paper is to study the impact the quality of online and multi-channel offers have on perceived value. It is also analyzed whether customer-centric management…
Abstract
Purpose
The purpose of this paper is to study the impact the quality of online and multi-channel offers have on perceived value. It is also analyzed whether customer-centric management will ensure a greater perceived value and loyalty of the customer for the hotel. The authors analyze its relationship with customer satisfaction, perceived value and switching costs related to hotels with customer-centric management.
Design/methodology/approach
The sample of the paper are hotel users with Internet access. The authors have obtained 420 valid questionnaires through personal interviews. The statistical methodology used is the causal analysis, using structural equation models.
Findings
The empirical results of this paper indicate that by improving the online quality offered by hotels with a personalized online service and an increased efficiency of the service, reducing information asymmetries, search and transaction time and bargaining costs, building loyalty by customization and innovation, the customer perceives more value in the service provided by hotels.
Originality/value
It is analyzed empirically how the customer-centric philosophy, a key philosophy for the hotel sector, allows an effective differentiation, greater customer loyalty and, therefore, an increased profitability of the company.
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José Ramón Saura, Domingo Ribeiro-Soriano and Daniel Palacios-Marqués
In the last decade, the hospitality sector has undergone numerous changes in the organization and structure of its business models. Specifically, the adoption of new digital…
Abstract
Purpose
In the last decade, the hospitality sector has undergone numerous changes in the organization and structure of its business models. Specifically, the adoption of new digital technologies has initiated transformative changes toward circular economy and sustainability. The present study aims to analyze whether the use of the digital reservation system in circular entrepreneurship businesses has an impact on entrepreneurs’ satisfaction and trust in the in circular economy.
Design/methodology/approach
The data collected via a survey of 317 entrepreneurs who use a circular economy strategy were analyzed using SEM in a proposed model based on circular entrepreneurship businesses and the adoption of digital reservation systems.
Findings
The results showed a positive relationship between usability and perceived ease of use and user satisfaction and trust in using digital reservation systems to boost circular entrepreneurship in hospitality. Therefore, it was identified that adopting a digital reservation system can increase the efficiency of entrepreneur resources, as well as lead to creation of sustainable knowledge, augment the use of new sources of user information, improve prediction of services and demand and, consequently, boost sustainability and circular economy.
Research limitations/implications
Future research can use the results of the present study to investigate how digital technologies work and affect user trust, satisfaction, and use of these systems in entrepreneurs’ projects in hospitality. In addition, it would be interesting to explore how these factors influence hospitality in different business models that support circular economy in tourism. To this end, researchers can use the variables used in the present study, along with other variables, to extend the proposed model and deepen the authors' research. In summary, this study contributes to the literature on the use of applications in hospitality sector and offer useful insight on how the adoption and use of new technologies can drive the management of knowledge and technology development, decision making and acquisition of new data sources that improve the experience of both entrepreneurs and users that interact with their services to enable circular entrepreneurship.
Practical implications
Hospitality entrepreneurs can use the results of the present study to better evaluate how using these applications can affect the communication protocols with their employees and stakeholders. Furthermore, entrepreneurs operating in the hospitality sector can use the results to develop action plans focused on the circular economy, new knowledge creation, as well as development and adoption of new digital technologies that enable circular entrepreneurship. In this way, hospitality companies will be able to effectively combine both more traditional offline channels and new technologies, such as mobile applications or the Internet.
Social implications
The authors' prediction of a strong positive link between perceived usefulness and user trust was also supported by the results of data analysis. The finding that perceived utility increases user trust in entrepreneurs when making adopting these technologies is also consistent with other similar studies. Finally, the results of this study also confirmed the hypothesized link between the perceived utility of digital technologies and user satisfaction. Taken together, the results also highlight the relevance of analyzing the use of digital reservation systems in the hospitality sector to enable circular entrepreneurship.
Originality/value
Taken together, the results highlight the relevance of analyzing the use of digital reservation systems in the hospitality sector to enable circular entrepreneurship and increase the perceived usefulness of new digital technologies so that to improve sustainable actions and the circular economy globally.
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José Belso-Martinez, Daniel Palacios-Marqués and Norat Roig-Tierno
There is a growing research interest in the relationships between networks and the firm’s assets and between networks and innovation. Studies have shown the complexity and…
Abstract
Purpose
There is a growing research interest in the relationships between networks and the firm’s assets and between networks and innovation. Studies have shown the complexity and idiosyncrasies of these relationships for firms in clusters. The way firms in clusters build certain organizational resources and capabilities, however, remains underexplored. Based on the assumption that most of these organizational assets rely on human resources, the purpose of this paper is to shed light on the mechanisms through which a set of managerial practices (the human resource management (HRM) system) enhances innovation.
Design/methodology/approach
Micro-level data were collected for 139 firms located in three Spanish industrial clusters. Next, the main constructs were developed. A multiple mediator model was then used to examine how HRM systems influence innovation through strategic vision, embeddedness in local networks, the implementation of enterprise systems, and cluster characteristics.
Findings
The effect of HRM systems on innovation performance was indirect rather than direct. All four mediating variables included in the model were found to be relevant mechanisms through which HRM systems affect innovation performance. The statistical significance of these variables, however, varied depending on the type of innovation (product, process, organizational, or marketing).
Practical implications
Greater attention should be paid to the structure and sophistication of HRM systems. Top-level managers should be aware of the linkages between HRM systems and mediators. Greater human resource orientation in strategic planning, enterprise system design, and networking practices reinforces the association between HRM systems and innovation.
Originality/value
This study advances our understanding of the mechanisms underlying the relationship between HRM systems and innovation. From an academic perspective, this study enriches the cluster literature by better integrating human resources with innovation processes. Furthermore, this study creates research opportunities by disentangling the role of different managerial practices and refining the operationalization of the mediating variables. The findings can also help managers develop human resources and innovation strategies.
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José Ramón Saura, Daniel Palacios-Marqués and Belém Barbosa
Technological advances in the last decade have caused both business and economic sectors to seek for new ways to adapt their business models to a connected data-centric era…
Abstract
Purpose
Technological advances in the last decade have caused both business and economic sectors to seek for new ways to adapt their business models to a connected data-centric era. Family businesses have also been forced to leave behind traditional strategies rooted in family stimuli and ties and to adapt their actions in digital environments. In this context, this study aims to identify major online marketing strategies, business models and technology applications developed to date by family firms. Methodology: Upon a systematic literature review, we develop a multiple correspondence analysis (MCA) under the homogeneity analysis of variance by means of alternating least squares (HOMALS) framework programmed in the R language. Based on the results, the analyzed contributions are visually analyzed in clusters.
Design/methodology/approach
Upon a systematic literature review, we develop an MCA under the HOMALS framework programmed in the R language. Based on the results, the analyzed contributions are visually analyzed in clusters.
Findings
Relevant indicators are identified for the successful development of digital family businesses classified in the following three categories: (1) digital business models, (2) digital marketing techniques and (3) technology applications. The first category consists of four digital business models: mobile marketing, e-commerce, cost per click, cost per mile and cost per acquisition. The second category includes six digital marketing techniques: search marketing (search engine optimization and search engine marketing (SEM) strategies), social media marketing, social ads, social selling, websites and online reputation optimization. Finally, the third category consists of the following aspects: digital innovation, digital tools, innovative marketing, knowledge discovery and online decision making. In addition, five research propositions are developed for further discussion and future research.
Originality/value
To the best of our knowledge, this study is the first to cover this research topic applying the emerging programming language R for the development of an MCA under the HOMALS framework.
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Sascha Kraus, Andrea Caputo, Daniel Palacios-Marqués and Ignacio Danvila-del-Valle