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Organizational technologies can be classified according to the roles they play as either commodity or strategic. Commodity technologies support common operations, while strategic technologies address perceived threats to competitiveness, often identified by strategic foresight. These must go through an adoption process before playing an effective role in strategy execution. The adoption process includes known activities, ranging from sourcing (itself from in-house development to turn-key acquisition) to operational integration. This paper aims to reveal strategic technology adoption risks that arise during strategy execution.

A gradually developed causal loop diagram model, supported by general literature, introduces three general classes of technology adoption risks: mismatched requirements, supplier dependence and unmanaged life cycles.

Rather than managed, these risks are incurred or avoided depending on decisions made during the adoption process.

Despite the scarce literature coverage for the approach, examples revealing the presence of adoption risks are nevertheless available in the well-documented history of enterprise resource planning (ERP).

Although ERP is presented as a general-purpose strategic technology, the unique business features of maritime container terminals pose serious challenges to its adoption, which provides additional support to the discussion and reinforces the conclusions.

The approach to identifying risks in strategic technology adoption departs from the current risk paradigm in two significant ways. First, it emphasizes policy decision-making rather than external events. Second, it views risks as systemic rather than occurring independently.

With the intensification of market competition, there is a growing demand for weak signal identification and evolutionary analysis for enterprise foresight. For decades, many scholars have conducted relevant research. However, the existing research only cuts in from a single angle and lacks a systematic and comprehensive overview. In this paper, the authors summarize the articles related to weak signal recognition and evolutionary analysis, in an attempt to make contributions to relevant research.

The authors develop a systematic overview framework based on the most classical three-dimensional space model of weak signals. Framework comprehensively summarizes the current research insights and knowledge from three dimensions of research field, identification methods and interpretation methods.

The research results show that it is necessary to improve the automation level in the process of weak signal recognition and analysis and transfer valuable human resources to the decision-making stage. In addition, it is necessary to coordinate multiple types of data sources, expand research subfields and optimize weak signal recognition and interpretation methods, with a view to expanding weak signal future research, making theoretical and practical contributions to enterprise foresight, and providing reference for the government to establish weak signal technology monitoring, evaluation and early warning mechanisms.

The authors develop a systematic overview framework based on the most classical three-dimensional space model of weak signals. It comprehensively summarizes the current research insights and knowledge from three dimensions of research field, identification methods and interpretation methods.

The continued relevance of technologies in halal industries requires managers to understand the factors contributing to such technologies’ acceptance. The technology acceptance model (TAM) is dominant in the literature that predicts user acceptance and behaviour towards technology. Despite the model’s significance, there has yet to be a systematic review of studies featuring halal sectors that use TAM. The purpose of this study is to systematically review the existing literature on TAM in halal industries to understand the research trends as well as TAM modifications and research opportunities in halal industries.

Guided by the preferred reporting items for systematic review and meta-analysis protocol, a framework-based review using the theories, contexts, characteristics and methods (TCCM) framework was conducted. The Scopus and Web of Science databases were used to retrieve English journal articles that investigated TAM in the context of halal markets. In total, 44 eligible articles were reviewed in terms of the developments and extensions of TAM in their studies across the halal industries.

The first study related to the use of TAM in the context of halal industries was published in 2014. The most prominent halal industry in the review, which used TAM, was Islamic finance. Indonesia was the leading economy in halal studies using TAM. Perceived usefulness was found to be a more significant factor than perceived ease of use for technology acceptance in TAM studies on halal industries. The significance of religiosity on TAM was inconsistent. Most research was done using quantitative surveys with consumers as the target sample.

The studies in this review are based on the Scopus and Web of Science databases, which may be perceived as a study limitation. This study also only considered English journal articles and research in which the focus was on the use of TAM in halal industries rather than general industries with Muslim consumers.

Halal industries will continue to rely on technology for the provision of goods and services. With the rise of emerging technological innovations, this review will provide managers with an appreciation of technology acceptance across different contexts. Researchers can use the results of this review to guide future studies and contribute toward the development of this research area.

This review contributes to the Islamic marketing literature by being the first to comprehensively review the TAM model in the context of halal industries using the TCCM framework-based review approach. A research agenda is proposed to advance research on technology acceptance and TAM in halal industries.

The problem statement is how to identify and analyze the corporate risks involved in the relationships with external agents involved in the open product innovation process (OPIP)? Seeking to extend this investigation, the purpose of this paper is to analyze the enterprise risks identified in corporate relations with external agents of the OPIP. This study proposes the systematization of the process of identification and analysis of the enterprise risks involved in the process of open product innovation.

The case explored in this study is the OPIP of Volkswagen do Brasil (VWB), one of the most important subsidiaries of the Volkswagen Group. Criteria were selected to both assessing corporate relations with external agents of the open innovation of VWB and analyzing the enterprise risks identified in these relations. Data collection included interviews with management-level professionals engaged in the OPIP activities and technical visits to a VWB’s industrial plant.

Results demonstrate that the enterprise risks mostly affecting the OPIP have a critical impact on the manufacturing process and initial sales of the new product.

The originality of the study focuses on the proposal of a systematization of how to identify and analyze the corporate risks involved in the process of open product innovation. The study focuses on the theoretical frontier on the open innovation and enterprise risk management (ERM) in the open innovation process.

Construction is a risky industry. Therefore, organizations are seeking ways towards improving their safety performance. Among these, the integration of technology into health and safety leads to enhanced safety performance. Considering the benefits observed in using technology in safety, this study aims to explore digital technologies' use and potential benefits in construction health and safety.

An extensive bibliometrics analysis was conducted to reveal which technologies are at the forefront of others and how these technologies are used in safety operations. The study used two different databases, Web of Science (WoS) and Scopus, to scan the literature in a systemic way.

The systemic analysis of several studies showed that the digital technologies use in construction are still a niche theme and need more assessment. The study provided that sensors and wireless technology are of utmost importance in terms of construction safety. Moreover, the study revealed that artificial intelligence, machine learning, building information modeling (BIM), sensors and wireless technologies are trending technologies compared to unmanned aerial vehicles, serious games and the Internet of things. On the other hand, the study provided that the technologies are even more effective with integrated use like in the case of BIM and sensors or unmanned aerial vehicles. It was observed that the use of these technologies varies with respect to studies conducted in different countries. The study further revealed that the studies conducted on this topic are mostly published in some selected journals and international collaboration efforts in terms of researching the topic have been observed.

This study provides an extensive analysis of WoS and Scopus databases and an in-depth review of the use of digital technologies in construction safety. The review consists of the most recent studies showing the benefits of using such technologies and showing the usage on a systemic level from which both scientists and practitioners can benefit to devise new strategies in technology usage.

The purpose of this paper is to nurture reflections on the colonization of the future in the present with a particular focus on Africa. This paper aims at exploring how participatory research and particularly anticipatory action research can contribute to a decolonising process.

Considering the future as a public good, this paper develops a reflection on the colonization processes that can turn it into a club or a private good. This paper mobilizes the notions of participatory knowledge production and local action research as a way to decolonize the future and empower imagination. This paper revisits the tenets of participatory action research as a means to achieve this objective and discusses the main features of a non-colonial anticipatory action research in the context of African futures.

This paper highlights the challenges associated with connecting anticipatory endeavours focusing on action research, the creation of collective intelligence and co-design, with the intention of encouraging the decolonisation process. It includes design principles and anticipates a possible process of counter-decolonization.

This is a conceptual paper, which does not provide field-tested evidence. Yet, the authors hope it serves as an input enabling to design methodologies that will prevent the colonisation of the future when engaging in future-oriented research activities in Africa and elsewhere.

This paper provides an integral approach to the colonisation of the future, as a renewed old question. This paper also connects this process with a reflection on the nature of what could be non-colonizing anticipatory action research.

Forests are negatively affected from rapid world population increase and industrialization that create intense pressures on natural resources and the possibility of an achieving circular economy. Forests can be considered as essential resources for providing sustainable society and meeting the requirements of future generations and circular economy. Therefore sustainable production tools as part of circular economy can be handled as one of the basic indicators for achieving circular economy. Accordingly the main purpose of this study is developing a novel rough – fuzzy multi-criteria decision-making model (MCDM) for evaluation sustainable production for forestry firms in Eastern Black Sea Region.

For determining 18 criteria weights a novel Rough PIPRECIA (PIvot Pairwise RElative Criteria Importance Assessment) method is developed. Eight decision-makers (DMs) participated in the research, and to obtain group rough decision matrix, rough Dombi weighted geometric averaging (RNDWGA) operator has been applied. For evaluation forestry firms fuzzy MARCOS (Measurement of alternatives and ranking according to COmpromise solution) method was utilized.

After application developed model the fourth alternative was found as the best. Sensitivity analysis and comparison were made to present the applicability of this method.

Development of novel integrated Rough PIPRECIA-Fuzzy MARCOS model with emphasis on developing new Rough PIPRECIA method.

The purpose of the study has been to fill the gap detected in the literature and to analyze whether the application of management of R&D in accordance with UNE 166002:2021 allows companies to obtain higher product innovation and better performance, specifically incremental and radical product innovations.

The population used in this study included Spanish manufacturing organizations that were active, had more than 50 employees according to the SABI. The information was collected through a structured questionnaire previously tested using a company specializing in the sector under the supervision of the authors. A total of 1,154 companies were randomly contacted in order to reach an acceptable number of 225 valid questionnaires. The data analysis has been carried out with structural equation methodology.

The results obtained with a sample of 225 companies show that the application of this standard for innovation management promotes the development of new products with incremental and radical changes, and improves business performance. It has also been found that incremental and radical product innovations mediate the relationship between this standard and performance.

Firstly, the survey is only addressed to the company's operations manager. Secondly, the sample used is cross-sectional, whereas innovation management implies a broad implementation process.

Managers must know that radical and incremental product innovation can improve the company's operational performance. And the most direct implication of this work is that, those companies that are committed to the development of innovations should seriously consider the application of the principles incorporated in Standard 166,002, as an instrument that improves the results of innovation in the organization. Since this SIMS promotes both types of innovations, it improves results directly and indirectly through these product innovations.

The existing literature indicates that no empirical study has focused on the benefits of this SIMSs for innovation and BP. This paper fills this gap detected in the literature and analyzes the results of the implementation of this standard on incremental and radical product innovations and business performance.

Micro and small enterprises (MSEs) play a crucial role in the development of any country by generating innovative ideas. However, they face inherent restrictions that hinder their innovation capabilities. It is essential to support innovation policies to overcome these barriers and foster innovation. This study aims to explore how innovation policies can reduce barriers to innovation in MSEs using the lens of innovation capabilities.

Through a multiple case study, the authors examined eight MSEs in São Paulo (Brazil) and five in Florence (Italy) to conduct this study. These countries share a similar level of importance when it comes to MSEs.

Current innovation policies could be more effective for MSEs if certain barriers they encounter are faced and resolved, such as limited financial resources and a scarcity of qualified workers. These barriers directly affect two key elements of their innovation capability: financial resources and human resources. Therefore, it is essential to develop innovation policies that target these elements directly to enable MSEs to overcome these obstacles and thrive.

This study aims to enhance the knowledge of how innovation policies can help alleviate obstacles to innovation and how they can influence the various components that comprise the innovation capability of MSEs. This research can be valuable for policymakers as it provides insight into which innovation policies impact each aspect of innovation capability, enabling them to choose the most suitable policy based on the specific needs and local circumstances of the MSEs.

This work sought to analyze targeted innovation strategies used during the pandemic to maintain companies’ competitiveness.

The methodology was a systematic literature review, analyzing how these factors can be used as leverage in decision-making and suggesting a framework tool.

As a result, nine factors were identified as drivers to stimulate competitiveness, bringing insights to structure actions in times of crisis to support agribusiness.

With this work, it is possible that other companies can base themselves and use the strategic drivers of innovation evidenced to remain competitive in the market during a period of crisis. As this is a systematic review of the literature, the application of a case study, for example, is a limitation, which could be a continuation of the work.

As this is a systematic review of the literature, the application of a case study, for example, is a limitation, which could be a continuation of the work.

This work has high value because it brings insights into strategic drivers of innovation that tend to leverage or maintain the competitiveness of agribusinesses in times of crisis. With the discussion carried out on the data obtained, it is possible that agribusinesses or other types of companies can be based for decision-making in a crisis scenario from innovative actions that generate competitive advantage.