Alberto Cusi, Antonella Ferri, Alessandra Micozzi and Maria Palazzo
Stemming from the resource-based view (RBV) approach, this article overcomes the limits of the conventional strengths, weaknesses, opportunities and threats (SWOT) analysis…
Abstract
Purpose
Stemming from the resource-based view (RBV) approach, this article overcomes the limits of the conventional strengths, weaknesses, opportunities and threats (SWOT) analysis, setting the basis for the model actual–potential, positive–negative, internal–external (APPNIE). This paper enacts a new framework demonstrating how strengths, weaknesses, opportunities and threats of SWOT can be replaced by actual or potential, positive or negative elements, considered in a dynamic way.
Design/methodology/approach
The traditional SWOT analysis provides only a partial view of the environment and adopts incorrect terminology that can confuse the user, preventing a clear understanding of the factors affecting the organisation’s situation. The authors developed a new tool to help managers in their decision-making processes.
Findings
This study proposes a new tool for assessing the quality of management, resources and environment, which is useful in understanding the economic and social scenario in which a firm is embedded. From a practical point of view, the new tool is applied in the case study, and it shows how managers and students can use it while choosing between alternative options (different strategies, markets, technologies, etc.).
Originality/value
The APPNIE model introduces a new dimension that the SWOT analysis does not consider. Moreover, for each element of the new matrix, the authors propose a plan of action, which is another valuable benefit of the APPNIE model.
Details
Keywords
Diego Rorato Fogaça, Mercedes Grijalvo, Alberto Oliveros Iglesias and Mario Sacomano Neto
This paper aims to propose and assess a framework to analyse the institutionalization of Industry 4.0 (I4.0) through a framing analysis.
Abstract
Purpose
This paper aims to propose and assess a framework to analyse the institutionalization of Industry 4.0 (I4.0) through a framing analysis.
Design/methodology/approach
The framework was developed by combining the institutional approach with orders of worth, drawing insights from a comprehensive literature review. To assess it, the authors conducted a qualitative analysis of annual reports from companies with the largest market capitalization over a six-year period and interviewed union representatives in Spain and Sweden.
Findings
The framework comprises five dimensions (industrial, market, civic, green and connectionist). The empirical results reveal that companies consistently frame I4.0 with an emphasis on industrial and market perspectives. In contrast, unions place a stronger emphasis on civic issues, with Spanish unions holding a more negative view of I4.0, expressing concerns about working conditions and unemployment.
Research limitations/implications
The proposed framework brings interesting insights into the dispute over the meaning of I4.0. Although this empirical study was limited to companies and unions in Sweden and Spain, the framework can be expanded for broader investigations, involving additional stakeholders in one or more countries. The discussion outlined using the varieties of capitalism approach is relevant for understanding the connection between the meso and macro levels of this phenomenon.
Practical implications
In navigating the landscape of I4.0, managers should remain flexible, and ready to tailor their strategies and operations to align with the distinct demands and expectations of stakeholders and their specific institutional environments. Similarly, policymakers are urged to acknowledge these contextual intricacies when crafting strategies for implementing I4.0 initiatives across national settings.
Social implications
Based on the empirical findings, this study underscores the importance of fostering social dialogue and involving stakeholders in the implementation of I4.0. Policymakers and other stakeholders should take proactive measures, tailored to each country’s context, to mitigate potential adverse effects on labour and workers.
Originality/value
The study presents a novel framework that facilitates the systematic comparison of I4.0 framing by different actors. This contribution is significant because the way actors frame I4.0 affects its interpretation and implementation. Additionally, the aggregate analysis of results enables cross-country comparisons, enhancing our understanding of regional disparities.
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Mauricio Castillo-Vergara, Diego Duarte Valdivia, Víctor Muñoz-Cisterna, Alejandro Álvarez-Marín, Cristian Geldes and Rodrigo Esteban Ortiz-Henriquez
This study developed a theoretical model to test the relationship between digital capability and Industry 4.0 (I4.0) and its effect on innovation performance in small and…
Abstract
Purpose
This study developed a theoretical model to test the relationship between digital capability and Industry 4.0 (I4.0) and its effect on innovation performance in small and medium-sized enterprises (SMEs).
Design/methodology/approach
The proposed theoretical model was evaluated using partial least-squares structural equation modeling and fuzzy-set qualitative comparative analysis. The data were obtained from a sample of 536 SMEs in Chile.
Findings
The proposed model presented two dimensions of digital capability: management and information and communication technologies (ICTs). Management models composed of enterprise resource planning and customer relationship management systems are essential for optimizing organizational management. Meanwhile, ICTs facilitate the smooth flow of information within an organization, leading to improved efficiency in production processes. I4.0 is encouraged by exposing SMEs to base technologies such as data analytics. These results confirm that I4.0 influences innovation performance.
Practical implications
SME managers should encourage the development of digital capabilities to transition toward I4.0, as this can make SMEs more competitive and innovative in changing and dynamic scenarios.
Social implications
I4.0 adoption and the development of digital capabilities can directly affect employment and national economic growth.
Originality/value
Most studies focus on the organizational factors affecting SMEs’ I4.0 adoption. They do not, however, address the role played by current digital capability in I4.0 technology adoption and its effect on firms’ innovation performance.
Propósito
Este estudio desarrolló un modelo teórico para probar la relación entre la capacidad digital y la Industria 4.0 (I4.0) y su efecto en el desempeño de la innovación en pequeñas y medianas empresas (PYME).
Diseño/método/enfoque
El modelo teórico propuesto se evaluó mediante el uso de modelos de ecuaciones estructurales de mínimos cuadrados parciales y análisis comparativo cualitativo de conjuntos difusos. Los datos se obtuvieron de una muestra de 536 pymes de Chile.
Resultados
El modelo propuesto presenta dos dimensiones de la capacidad digital: la gestión y las tecnologías de la información y la comunicación (TIC). Los modelos de gestión compuestos por sistemas de planificación de recursos empresariales y de gestión de relaciones con los clientes son esenciales para optimizar la gestión organizacional. Por su parte, las TIC facilitan el flujo fluido de información dentro de una organización, lo que conduce a una mejora de la eficiencia en los procesos de producción. La I4.0 se fomenta exponiendo a las PYME a tecnologías de base como el análisis de datos. Estos resultados confirman que la I4.0 influye en el rendimiento de la innovación.
Originalidad
La mayoría de los estudios se centran en los factores organizativos que afectan a la adopción de la I4.0 por parte de las pymes, pero no abordan el papel que desempeña la capacidad digital actual en la adopción de la tecnología I4.0 y su efecto en el desempeño innovador de las empresas.
Implicaciones prácticas
Los gestores de las PYMES deben incentivar el desarrollo de capacidades digitales para realizar la transición hacia la I4.0, ya que esto puede hacer que las PYMES sean más competitivas e innovadoras en escenarios cambiantes y dinámicos.
Implicaciones sociales
La adopción de la I4.0 y el desarrollo de capacidades digitales pueden afectar directamente al empleo y al crecimiento económico nacional.
Details
Keywords
- Industry 4.0
- Technology
- Innovation
- Small and medium-sized enterprises
- Enterprise resource planning
- Customer relationship management
- Industria 4.0
- Tecnología
- Innovación
- Pequeñas y medianas empresas
- Sistema de planificación de recursos empresariales (ERP)
- Sistema de gestión de relaciones con los clientes (CRM)
- O300
- O30
- O320
- O330
Lean production has been proved to be a cost-effective and efficient means of production that reduces non-valve added activities. Industry 4.0 (I4.0) is a technology-driven…
Abstract
Purpose
Lean production has been proved to be a cost-effective and efficient means of production that reduces non-valve added activities. Industry 4.0 (I4.0) is a technology-driven platform that allows machines to interact with other systems through artificial intelligence, machine learning, industrial Internet of Things (IoT), etc. that improve the production system with flexibility, quality and customization throughout the whole value chain. New approaches to digitization of lean production have recently been emerged and they are transforming the industry and increasing productivity throughout the value chain. Through this article, an effort has been made to review the research published in this field.
Design/methodology/approach
This paper reviews the literature published in various journals, the databases Web of science (WoS), ScienceDirect, Scopus, Emerald etc. were referred with a focus on lean concepts and tools and I4.0 technologies; it has been noticed that the integration of the lean tools with I4.0 technologies is a very effective tool for the industry.
Findings
It has been found in the literature published earlier in various journals that lean manufacturing (LM) is commonly acknowledged and considered a best practice to improve the productivity. It is concerned with the tight integration of people into the industrial process through continuous improvement which leads to value addition throughout the whole value chain by eliminating non vale added activities. The findings show that organizations can improve their productivity and flexibility with speed and accuracy by integrating I4.0 technologies with LM, which is foremost need of any industry across the world.
Originality/value
This article accentuates the connections between the principles and tools developed under the umbrella of I4.0 and those developed by the LM techniques, with a specific emphasis on how some of the principles and tools of I4.0 improve the implementation of lean principles dependent on the competence levels of the technology. Very few articles have been published in this area, and this paper is an original piece of research covering a review of extant research published in various journals.