G. van de Kaa
Please Note
45 records found
1
When examining the deployment contexts, the study finds that coastal and inland routes are the most viable for early MASS implementation. These settings offer shorter distances, more stable environments, and clearer regulatory jurisdictions. DOA 2 is seen as the most practical starting point especially for trans-ocean shipping, where the need for onboard maintenance and intervention remains high. Among vessel types, containerships and Ro-Ro vessels are identified as the most suitable for early adoption due to their operational predictability and compatibility with smart port infrastructure.
This thesis advances the literature by showing that adoption drivers differ systematically across autonomy levels.
This insight extends innovation adoption theory by highlighting the role of human presence in perceived risk. Unlike previous studies that evaluated autonomous shipping as a single category, this thesis emphasizes that each level of autonomy presents unique challenges and priorities. Finally, adoption will not follow a linear path but will depend on matching the right technologies with the right operational contexts. By capturing expert insights and providing level-specific analysis, this thesis offers a practical roadmap for shipowners, policymakers, and technology developers to introduce autonomous shipping. ...
When examining the deployment contexts, the study finds that coastal and inland routes are the most viable for early MASS implementation. These settings offer shorter distances, more stable environments, and clearer regulatory jurisdictions. DOA 2 is seen as the most practical starting point especially for trans-ocean shipping, where the need for onboard maintenance and intervention remains high. Among vessel types, containerships and Ro-Ro vessels are identified as the most suitable for early adoption due to their operational predictability and compatibility with smart port infrastructure.
This thesis advances the literature by showing that adoption drivers differ systematically across autonomy levels.
This insight extends innovation adoption theory by highlighting the role of human presence in perceived risk. Unlike previous studies that evaluated autonomous shipping as a single category, this thesis emphasizes that each level of autonomy presents unique challenges and priorities. Finally, adoption will not follow a linear path but will depend on matching the right technologies with the right operational contexts. By capturing expert insights and providing level-specific analysis, this thesis offers a practical roadmap for shipowners, policymakers, and technology developers to introduce autonomous shipping.
Substantial research has been done on quality and compatibility standards adoption, but the research on safety standards remains limited, fragmented and unclear about the difference between adoption and implementation. This research addresses this gap by aiming to identify factors that influence these two distinct stages of adoption and implementation. While the current literature struggles to distinguish these stages, this research defines them clearly setting a guideline. Adoption is defined as internal decision by a company to encompass, whether to use or not use a safety standard, choosing between different available safety standards. Implementation is defined as the process of integrating the chosen safety standard into organizational operations. i.e. integration in the (safety) management systems such that the company complies with the chosen standard. Further, this research also evaluates the relative significance of these factors and explores how the most important factors can be influenced by different stakeholders. Thus, it provides organizations and policymakers with actionable insights to promote safer and more resilient workplaces.
A 3-step methodology was used for this research. First, to identify the factors influencing the adoption and implementation of safety standards, a systematic literature review and exploratory investigation were conducted. The factors were organized into two frameworks: one for adoption (13 factors grouped under four categories) and one for implementation (6 factors). The adoption factors divided into 4 categories, included External Influence (Regulatory Pressure, Value Chain Pressure, Broader Societal Pressure), Firm Characteristics (Management Commitment, Resources), Company Goals (Image, Operational Efficiency, Safe Working Environment, Cost Savings, Global expansion) and Standard Characteristics (Quality, Compatibility, Cost). For implementation, the factors relate to Commitment (from all the levels of the company), Communication & Training, Continuous Improvement Mechanisms, Resources, Compatibility with the Company, and Government Support.
The second step of the research used the Best Worst Method (BWM) to quantify the relative importance of each factor with the help of experts. The results show that the Management Commitment and Regulatory Pressure are the most significant factors in adoption, while Commitment and Communication & Training are key for implementation.
In the third step, a literature review was conducted, and the experts were interviewed to identify the stakeholders influencing the top 2 ranked factors from both adoption and implementation frameworks. This step also focused on providing insights on how these highly important factors can be influenced. The findings show that these factors are influenced by various stakeholders: governments provide external pressure, top leadership drives internal prioritization, and middle management shapes implementation through engagement and awareness. These findings align with institutional theory, emphasizing coercive, mimetic, and normative pressures in shaping organizational behavior.
The practical implications of this research are twofold. Policy makers can use the findings to develop more targeted regulatory policies, provide incentives, and offer support mechanisms tailored to organizational needs, particularly for SMEs. The key recommendations for policymakers include:
• Use financial incentives such as tax benefits or grants to encourage adoption.
• Offer subsidized training programs and access to safety equipment or consultancy services, helping overcome internal capability gaps in SMEs.
• Promote recognition programs (e.g., safety awards) that link compliance to public image and reputation.
• Support benchmarking and performance transparency by publishing industry-wide safety metrics.
Managers, on the other hand, can better structure their internal strategies by aligning safety goals with business objectives, improving training programs, and enabling open communication across levels. The recommendations for managers include:
• Frame safety as a strategic priority, not just a compliance requirement. Integrate safety-related KPIs into performance evaluation and business continuity planning.
• Develop a formal commitment strategy that links goals, resource allocation, and contingency planning. This ensures alignment and accountability.
• Empower middle management and safety officers to act as translators of safety vision into daily operations. Provide them with authority, tools, and training to lead implementation.
• Appoint individuals with strong safety values and past industry experience. These champions can help shape safety culture and mentor others.
• Foster involvement by enabling employee participation through safety committees, open communication channels, and continuous feedback loops.
• Benchmark safety performance against industry peers and learn from leaders.
• Ensure continuity by embedding safety into onboarding and leadership development programs, sustaining commitment even during organizational transitions.
In conclusion, this research offers a structured and actionable understanding of what drives safety standard adoption and implementation. By separating the two phases, identifying key influencing factors, and highlighting stakeholder roles, the study contributes to academic theory and provides practical value for creating safer organizational environments.
...
Substantial research has been done on quality and compatibility standards adoption, but the research on safety standards remains limited, fragmented and unclear about the difference between adoption and implementation. This research addresses this gap by aiming to identify factors that influence these two distinct stages of adoption and implementation. While the current literature struggles to distinguish these stages, this research defines them clearly setting a guideline. Adoption is defined as internal decision by a company to encompass, whether to use or not use a safety standard, choosing between different available safety standards. Implementation is defined as the process of integrating the chosen safety standard into organizational operations. i.e. integration in the (safety) management systems such that the company complies with the chosen standard. Further, this research also evaluates the relative significance of these factors and explores how the most important factors can be influenced by different stakeholders. Thus, it provides organizations and policymakers with actionable insights to promote safer and more resilient workplaces.
A 3-step methodology was used for this research. First, to identify the factors influencing the adoption and implementation of safety standards, a systematic literature review and exploratory investigation were conducted. The factors were organized into two frameworks: one for adoption (13 factors grouped under four categories) and one for implementation (6 factors). The adoption factors divided into 4 categories, included External Influence (Regulatory Pressure, Value Chain Pressure, Broader Societal Pressure), Firm Characteristics (Management Commitment, Resources), Company Goals (Image, Operational Efficiency, Safe Working Environment, Cost Savings, Global expansion) and Standard Characteristics (Quality, Compatibility, Cost). For implementation, the factors relate to Commitment (from all the levels of the company), Communication & Training, Continuous Improvement Mechanisms, Resources, Compatibility with the Company, and Government Support.
The second step of the research used the Best Worst Method (BWM) to quantify the relative importance of each factor with the help of experts. The results show that the Management Commitment and Regulatory Pressure are the most significant factors in adoption, while Commitment and Communication & Training are key for implementation.
In the third step, a literature review was conducted, and the experts were interviewed to identify the stakeholders influencing the top 2 ranked factors from both adoption and implementation frameworks. This step also focused on providing insights on how these highly important factors can be influenced. The findings show that these factors are influenced by various stakeholders: governments provide external pressure, top leadership drives internal prioritization, and middle management shapes implementation through engagement and awareness. These findings align with institutional theory, emphasizing coercive, mimetic, and normative pressures in shaping organizational behavior.
The practical implications of this research are twofold. Policy makers can use the findings to develop more targeted regulatory policies, provide incentives, and offer support mechanisms tailored to organizational needs, particularly for SMEs. The key recommendations for policymakers include:
• Use financial incentives such as tax benefits or grants to encourage adoption.
• Offer subsidized training programs and access to safety equipment or consultancy services, helping overcome internal capability gaps in SMEs.
• Promote recognition programs (e.g., safety awards) that link compliance to public image and reputation.
• Support benchmarking and performance transparency by publishing industry-wide safety metrics.
Managers, on the other hand, can better structure their internal strategies by aligning safety goals with business objectives, improving training programs, and enabling open communication across levels. The recommendations for managers include:
• Frame safety as a strategic priority, not just a compliance requirement. Integrate safety-related KPIs into performance evaluation and business continuity planning.
• Develop a formal commitment strategy that links goals, resource allocation, and contingency planning. This ensures alignment and accountability.
• Empower middle management and safety officers to act as translators of safety vision into daily operations. Provide them with authority, tools, and training to lead implementation.
• Appoint individuals with strong safety values and past industry experience. These champions can help shape safety culture and mentor others.
• Foster involvement by enabling employee participation through safety committees, open communication channels, and continuous feedback loops.
• Benchmark safety performance against industry peers and learn from leaders.
• Ensure continuity by embedding safety into onboarding and leadership development programs, sustaining commitment even during organizational transitions.
In conclusion, this research offers a structured and actionable understanding of what drives safety standard adoption and implementation. By separating the two phases, identifying key influencing factors, and highlighting stakeholder roles, the study contributes to academic theory and provides practical value for creating safer organizational environments.
The Stakeholder Playbook
IIoT Market Adoption Lessons from Eight Standardisation Cases
The literature review explores academic sources like Scopus, Web of Science, Google Scholar, and SciSearch. The search strategy included keywords focusing on standardisation, stakeholder influence, and IIoT to identify studies commenting on the respective (or interplay of) these factors. From these studies, it was revealed that large multinational corporations dominate standardisation processes, often imposing proprietary standards that inhibit interoperability, limit accessibility, and create barriers for smaller entities. Regulatory bodies, while central to ensuring standards align with public interests, frequently struggle to keep pace with rapid technological evolution, leaving significant gaps in security, data privacy, and compatibility. Additionally, literature showed us that common standards are difficult to reach due to problems with stakeholder infrastructure, as multiple researchers have laid foundation to further research stakeholder infrastructures in standardisation. Hence the reason this thesis will aim to investigate the patterns that stakeholder characteristics and infrastructure have with the emergence of common standards. This led to the main research question:
• To what extent do stakeholder characteristics influence the development of technological standards in industrial IoT?"
To answer the main research question, two sub-questions were formulated:
• How does the classification of stakeholders—organized into a matrix based on their levels of power, legitimacy, and urgency—affect the emergence of technological standards in IIoT?
• How can policymakers, researchers, or businesses influence stakeholders to shape the standardization process in Industrial IIoT?
The first sub question aims to be answered by an empirical analysis. This analysis focusses on eight IIoT standardisation cases across the four different phases in IIoT: data ingestion (where IIoT sensors collect data from the environment, like temperature), data transmission (where data is transmitted to a local or cloud solution), data processing (where data is processed, e.g. aggregated or decrypted), and data utilisation (which often involves human-computer interaction and an application: presents dashboards \& insights). For each phase, two standards were selected, one with market adoption and one without. The cases were:
1) Data Ingestion:\\
• RFID UHF (adopted)\\
• Zephyr Project (not adopted)
2) Data Transmission:\\
• LoRaWAN (adopted)\\
• Sigfox (not adopted)
3) Data Processing:\\
• EPCIS (adopted)\\
• UPnP (not adopted)
4) Data Utilisation:\\
• Ignition (adopted)\\
• GE Predix (not adopted)
The methodology employed an approach based on de Vries et al. (2003), using nine search directions, like production firms, end-users and regulators. After identification of the stakeholders, they are classified according to their power, legitimacy, and urgency in the standardisation process. The research combined desk research, case studies, and expert interviews to gather data about stakeholder characteristics. The extensive empirical research led to a collection of sixteen tables showing the involved stakeholders and their power, urgency and legitimacy to the standard. This output was summarised in a large table to detect patterns in whether certain types of stakeholders contributed positively or negatively to the market adoption of a standard. The patterns that arise from the empirical analysis are:
1) End-user engagement is essential: End users and related organisations are more prevalent in standards with market adoption. Their involvement as dominant or definitive stakeholders contributes significantly to the adoption and implementation of the standard.
2) Dangerous stakeholders hinder adoption: In 3 out of 4 standards without market adoption, there is at least one dangerous stakeholder. Their presence correlates with the lack of adoption, indicating that stakeholders who have power and urgency but lack legitimacy can create obstacles in the standardisation process.
3) Definitive stakeholders drive market adoption: Standards with market adoption have a higher average number of definitive stakeholders (4) compared to those without market adoption (1.75). This suggests that the involvement of stakeholders possessing power, urgency, and legitimacy is crucial for a standard's success in the market.
4) Higher stakeholder participation in adopted standards: Standards that have been adopted in the market involve more stakeholders on average (11.25) compared to those without market adoption (7.5). Broad stakeholder participation enhances the standard's credibility and acceptance.
5) Absence of stakeholders with only power or urgency: Stakeholders possessing only power (type E) or only urgency (type G) do not appear in the table. This absence indicates that power or urgency alone is insufficient to impact standard adoption.
These patterns are subsequently translated into policy recommendations on how to influence the standardisation process. This was done to answer sub question 2. To influence stakeholders and improve standardisation efforts, the research identified policy recommendations:
1) Stimulating end-user engagement through:\\
• Creating well-established stakeholder groups\\
• Eliminating fees for participation\\
• Offering free consultation on standardisation efforts
2) Managing dangerous stakeholders by:\\
• Finding ways for them to participate with approval from other stakeholders\\
• Implementing review mechanisms through special committees
3) Increasing stakeholder participation by:\\
• Focusing on quality over quantity in standardisation efforts\\
• Providing resources to enhance stakeholder capabilities\\
• Creating regulatory frameworks that prioritise standardisation
The discussion highlights that the findings from this thesis align with previous research emphasising the importance of user engagement. According to a professor expert on the matter, the caveat is that this is only beneficial when users can provide clear, unambiguous requirements. Also, the methodology used in this thesis represents a novel application of de Vries' 2003 stakeholder identification method, particularly in creating a stakeholder/standard matrix. Other than this thesis, the methodology has been applied in a few other scholarly cases and by Professor van de Kaa. At last, the discussion tells that the research contributes to standardisation literature by empirically analysing market adoption across multiple cases. Important aspects are the confirmation of the importance of end-user engagement and the identification of dangerous stakeholders as a threat to standardisation.
Future recommendations of the study include the need for further research on effective methods for involving end-users in standardisation processes, particularly through empirical studies. Also, further investigation of mechanisms to identify and manage dangerous stakeholders is important, as this remains underexplored in current literature. With concerns to the methodology applied, application of the stakeholder identification and classification method across different sectors would validate its broader applicability. Because of the dynamic environment of stakeholders, standardisation and IIoT, longitudinal studies are advised to capture how standards evolve with technological advancement and changing stakeholder dynamics. At last, more research on how to increase stakeholder salience levels and the impact this has on standardisation success is advised. ...
The literature review explores academic sources like Scopus, Web of Science, Google Scholar, and SciSearch. The search strategy included keywords focusing on standardisation, stakeholder influence, and IIoT to identify studies commenting on the respective (or interplay of) these factors. From these studies, it was revealed that large multinational corporations dominate standardisation processes, often imposing proprietary standards that inhibit interoperability, limit accessibility, and create barriers for smaller entities. Regulatory bodies, while central to ensuring standards align with public interests, frequently struggle to keep pace with rapid technological evolution, leaving significant gaps in security, data privacy, and compatibility. Additionally, literature showed us that common standards are difficult to reach due to problems with stakeholder infrastructure, as multiple researchers have laid foundation to further research stakeholder infrastructures in standardisation. Hence the reason this thesis will aim to investigate the patterns that stakeholder characteristics and infrastructure have with the emergence of common standards. This led to the main research question:
• To what extent do stakeholder characteristics influence the development of technological standards in industrial IoT?"
To answer the main research question, two sub-questions were formulated:
• How does the classification of stakeholders—organized into a matrix based on their levels of power, legitimacy, and urgency—affect the emergence of technological standards in IIoT?
• How can policymakers, researchers, or businesses influence stakeholders to shape the standardization process in Industrial IIoT?
The first sub question aims to be answered by an empirical analysis. This analysis focusses on eight IIoT standardisation cases across the four different phases in IIoT: data ingestion (where IIoT sensors collect data from the environment, like temperature), data transmission (where data is transmitted to a local or cloud solution), data processing (where data is processed, e.g. aggregated or decrypted), and data utilisation (which often involves human-computer interaction and an application: presents dashboards \& insights). For each phase, two standards were selected, one with market adoption and one without. The cases were:
1) Data Ingestion:\\
• RFID UHF (adopted)\\
• Zephyr Project (not adopted)
2) Data Transmission:\\
• LoRaWAN (adopted)\\
• Sigfox (not adopted)
3) Data Processing:\\
• EPCIS (adopted)\\
• UPnP (not adopted)
4) Data Utilisation:\\
• Ignition (adopted)\\
• GE Predix (not adopted)
The methodology employed an approach based on de Vries et al. (2003), using nine search directions, like production firms, end-users and regulators. After identification of the stakeholders, they are classified according to their power, legitimacy, and urgency in the standardisation process. The research combined desk research, case studies, and expert interviews to gather data about stakeholder characteristics. The extensive empirical research led to a collection of sixteen tables showing the involved stakeholders and their power, urgency and legitimacy to the standard. This output was summarised in a large table to detect patterns in whether certain types of stakeholders contributed positively or negatively to the market adoption of a standard. The patterns that arise from the empirical analysis are:
1) End-user engagement is essential: End users and related organisations are more prevalent in standards with market adoption. Their involvement as dominant or definitive stakeholders contributes significantly to the adoption and implementation of the standard.
2) Dangerous stakeholders hinder adoption: In 3 out of 4 standards without market adoption, there is at least one dangerous stakeholder. Their presence correlates with the lack of adoption, indicating that stakeholders who have power and urgency but lack legitimacy can create obstacles in the standardisation process.
3) Definitive stakeholders drive market adoption: Standards with market adoption have a higher average number of definitive stakeholders (4) compared to those without market adoption (1.75). This suggests that the involvement of stakeholders possessing power, urgency, and legitimacy is crucial for a standard's success in the market.
4) Higher stakeholder participation in adopted standards: Standards that have been adopted in the market involve more stakeholders on average (11.25) compared to those without market adoption (7.5). Broad stakeholder participation enhances the standard's credibility and acceptance.
5) Absence of stakeholders with only power or urgency: Stakeholders possessing only power (type E) or only urgency (type G) do not appear in the table. This absence indicates that power or urgency alone is insufficient to impact standard adoption.
These patterns are subsequently translated into policy recommendations on how to influence the standardisation process. This was done to answer sub question 2. To influence stakeholders and improve standardisation efforts, the research identified policy recommendations:
1) Stimulating end-user engagement through:\\
• Creating well-established stakeholder groups\\
• Eliminating fees for participation\\
• Offering free consultation on standardisation efforts
2) Managing dangerous stakeholders by:\\
• Finding ways for them to participate with approval from other stakeholders\\
• Implementing review mechanisms through special committees
3) Increasing stakeholder participation by:\\
• Focusing on quality over quantity in standardisation efforts\\
• Providing resources to enhance stakeholder capabilities\\
• Creating regulatory frameworks that prioritise standardisation
The discussion highlights that the findings from this thesis align with previous research emphasising the importance of user engagement. According to a professor expert on the matter, the caveat is that this is only beneficial when users can provide clear, unambiguous requirements. Also, the methodology used in this thesis represents a novel application of de Vries' 2003 stakeholder identification method, particularly in creating a stakeholder/standard matrix. Other than this thesis, the methodology has been applied in a few other scholarly cases and by Professor van de Kaa. At last, the discussion tells that the research contributes to standardisation literature by empirically analysing market adoption across multiple cases. Important aspects are the confirmation of the importance of end-user engagement and the identification of dangerous stakeholders as a threat to standardisation.
Future recommendations of the study include the need for further research on effective methods for involving end-users in standardisation processes, particularly through empirical studies. Also, further investigation of mechanisms to identify and manage dangerous stakeholders is important, as this remains underexplored in current literature. With concerns to the methodology applied, application of the stakeholder identification and classification method across different sectors would validate its broader applicability. Because of the dynamic environment of stakeholders, standardisation and IIoT, longitudinal studies are advised to capture how standards evolve with technological advancement and changing stakeholder dynamics. At last, more research on how to increase stakeholder salience levels and the impact this has on standardisation success is advised.
Standardization: an interdisciplinary scientific field
Connecting economics, management, and other disciplines
The development of standardization research underwent three main stages. First, standardization research formed a standalone academic discipline, mostly connected to management and engineering. Later, it evolved into a multidisciplinary scientific field, especially with the surge of environmental, sociological, and legal investigations on standards. Nowadays, standardization can be considered in all effects an interdisciplinary scientific field. The progressive use of interdisciplinary approaches (i.e., combining elements of two or more disciplines in the same studies) is uncovering a set of common theories (which science philosopher Imre Lakatos called “protective belts”) about the process of standardization, from the development of standards to their adoption and impact.
However, the development of standardization research is not linear, since the divergence of approaches and terminologies employed by the different research communities is undermining the consistency of the field. This dissertation aims to bring order to this “interdisciplinary” stage of this development. It does so through a twofold research objective: first, it aims to explore the extent to which research on standardization is interdisciplinary; second, it aims to illustrate possible avenues for interdisciplinary research. For this purpose, the dissertation adopts a multi-method approach that spans from literature-based research (both bibliometric and conceptual) to quantitative and qualitative research... ...
The development of standardization research underwent three main stages. First, standardization research formed a standalone academic discipline, mostly connected to management and engineering. Later, it evolved into a multidisciplinary scientific field, especially with the surge of environmental, sociological, and legal investigations on standards. Nowadays, standardization can be considered in all effects an interdisciplinary scientific field. The progressive use of interdisciplinary approaches (i.e., combining elements of two or more disciplines in the same studies) is uncovering a set of common theories (which science philosopher Imre Lakatos called “protective belts”) about the process of standardization, from the development of standards to their adoption and impact.
However, the development of standardization research is not linear, since the divergence of approaches and terminologies employed by the different research communities is undermining the consistency of the field. This dissertation aims to bring order to this “interdisciplinary” stage of this development. It does so through a twofold research objective: first, it aims to explore the extent to which research on standardization is interdisciplinary; second, it aims to illustrate possible avenues for interdisciplinary research. For this purpose, the dissertation adopts a multi-method approach that spans from literature-based research (both bibliometric and conceptual) to quantitative and qualitative research...
The following research question has been investigated: ‘’Which factors affect the implementation of Responsible Innovation dimensions in start-ups.’’ ...
The following research question has been investigated: ‘’Which factors affect the implementation of Responsible Innovation dimensions in start-ups.’’
By performing interviews with guideline developers, doctors, and patients, this tension and possible contributing factors were explored through a technical, human, and organisational perspective. The identification of a need for the inclusion of the psychosocial elements, research regarding sensitivity around professional autonomy, and structural changes is beneficial to get to a point where it is possible to identify a balance between guideline standardisation and professional autonomy and its impact on the safety and quality of care. While multiple points for further research are indicated in this study, these three factors contribute to improving the situation of both the tension itself and the discussions around it.
...
By performing interviews with guideline developers, doctors, and patients, this tension and possible contributing factors were explored through a technical, human, and organisational perspective. The identification of a need for the inclusion of the psychosocial elements, research regarding sensitivity around professional autonomy, and structural changes is beneficial to get to a point where it is possible to identify a balance between guideline standardisation and professional autonomy and its impact on the safety and quality of care. While multiple points for further research are indicated in this study, these three factors contribute to improving the situation of both the tension itself and the discussions around it.
Exploring Consensus to Develop Global Standards in Response to Sea Level Rise (SLR)
Evaluating the Standardisation Scope of SLR Adaptation Using the Delphi Technique
The research question is: “How do onboard carbon capture stakeholders influence the standardisation process in the maritime industry?”
A systematic approach for stakeholder identification, classification, and mapping of the standardisation process was developed, extending an existing method. Classification is based on power, legitimacy, and urgency, and the process is divided into predefined phases. The methodology consists of nine steps, developed and validated through expert review. Eight semi-structured interviews and qualitative case study data on OCC were used.
Eighty-seven stakeholders were identified, including multinational companies, start-ups, governmental bodies, classification societies, shipowners, and technology providers. Most stakeholders are based in Europe, while OCC projects are concentrated in Japan, South Korea, Norway, and the Netherlands. Shipowners, shipping companies, and technology providers are dependent on governmental support, while governments show limited urgency for OCC standardisation.
The maritime sector relies strongly on industry initiatives and consortia rather than formal standardisation bodies such as ISO, CEN, and NEN. Two processes were identified: safety/functional and environmental standardisation. Safety/functional standards are led by classification societies with iterative industry input, while environmental standards are government-led and consensus-driven, making them slower.
Lobbying and early collaboration with classification societies are key to influencing standards. Stakeholder mapping shows clear differences in power and dependency relations, and highlights bottlenecks in environmental standardisation.
This research provides a structured method for managers to identify stakeholders and select strategies such as lobbying. It also supports policymakers and standardisation bodies in improving stakeholder inclusion and policy design.
Limitations include the simplified assessment of stakeholder power, potential distortion from broad categorisation, and limited replicability due to anonymised interviews.
This study extends stakeholder theory by introducing a structured visual mapping of the standardisation process. The model combines identification, classification, and process mapping into one framework, allowing analysis of stakeholder roles, relationships, and influence patterns. ...
The research question is: “How do onboard carbon capture stakeholders influence the standardisation process in the maritime industry?”
A systematic approach for stakeholder identification, classification, and mapping of the standardisation process was developed, extending an existing method. Classification is based on power, legitimacy, and urgency, and the process is divided into predefined phases. The methodology consists of nine steps, developed and validated through expert review. Eight semi-structured interviews and qualitative case study data on OCC were used.
Eighty-seven stakeholders were identified, including multinational companies, start-ups, governmental bodies, classification societies, shipowners, and technology providers. Most stakeholders are based in Europe, while OCC projects are concentrated in Japan, South Korea, Norway, and the Netherlands. Shipowners, shipping companies, and technology providers are dependent on governmental support, while governments show limited urgency for OCC standardisation.
The maritime sector relies strongly on industry initiatives and consortia rather than formal standardisation bodies such as ISO, CEN, and NEN. Two processes were identified: safety/functional and environmental standardisation. Safety/functional standards are led by classification societies with iterative industry input, while environmental standards are government-led and consensus-driven, making them slower.
Lobbying and early collaboration with classification societies are key to influencing standards. Stakeholder mapping shows clear differences in power and dependency relations, and highlights bottlenecks in environmental standardisation.
This research provides a structured method for managers to identify stakeholders and select strategies such as lobbying. It also supports policymakers and standardisation bodies in improving stakeholder inclusion and policy design.
Limitations include the simplified assessment of stakeholder power, potential distortion from broad categorisation, and limited replicability due to anonymised interviews.
This study extends stakeholder theory by introducing a structured visual mapping of the standardisation process. The model combines identification, classification, and process mapping into one framework, allowing analysis of stakeholder roles, relationships, and influence patterns.
Responsible Innovation for Wicked Societal Challenges
An Exploration of Strengths and Limitations
Factors Affecting De Jure Standards’ Adoption by Dutch High-Tech Start-Ups
An exploratory, comparative case study into the factors affecting de jure standards’ adoption by Dutch high-tech start-ups and the potential influencing thereof by the Dutch standards organization
This thesis is setup as a theory-building, explorative case study consisting of 3 rounds of data collection. The first is a literature review into the studies of de jure standards adoption and the determination of which major recurring theories and frameworks are applied in these studies. Three major recurring applied theories were found, the diffusion of innovation, neo-institutionalism and the network economics approach applied in the TOE framework. A list of potential factors was formulated from the factors applied in the relevant studies, using the aforementioned theories and frameworks. The literature-backed list consists of: (1) Perceived relative advantage, (2) Perceived compatibility, (3) Perceived complexity, (4) Observability, (5) Competitive pressure, (6) Environmental uncertainty, (7) Mimetic pressure, (8) Coercive pressure, (9) External support, (10) Normative pressure, (11) Management support, (12) Centralization, (13) Formalization, and (14) Organizational size.
This list of factors was used as a basis for the 2nd step of data collection in this case study: the 1st round of semi-structured interviews. This 1st round of interviews consisted of interviews with 6 cases: 5 Dutch high-tech start-ups and a NEN official. The interview transcripts were codified and analyzed to determine which factors the start-ups identify, and which effect they mention the factor has. Factors were also mentioned that were not included in the literature-backed list. These were axially (thematically) analyzed to formulate new propositional factors. The transcripts were then analyzed again to determine if the new propositional factors were mentioned by the others as well, and which effect they mention. This data is used to build upon the literature-backed list of factors. The result is thus a list of factors consisting of literature-backed factors that were identified and the new propositional factors. In other words, a list of factors that the high-tech start-ups and the NEN official identify. This list consists of: (1) Perceived relative advantage, (2) Perceived compatibility, (3) Perceived complexity, (4) Environmental uncertainty, (5) Mimetic pressure, (6) Coercive pressure, (7) External support, (8) Normative pressure, (9) Management support, (10) Centralization, (11) Formalization, (12) Organizational size, (13) Awareness/prior knowledge, (14) Processual characteristics, (15) Trust in evolution of standard and (16) Costs. The effects of the standards were also collected, interpreted and discussed. A significant outcome is that there is a distinction between the adoption of a single standard and the adoption of a combination of standards and that this can be seen as a factor, which has a moderating effect on certain other factors.
The last round of data collection consisted of a 2nd round of semi-structured interviews with 2 cases: (1) a NEN official and (2) two standards organization experts. These interviews were to determine which factors the cases identify as possible to influence and how. The results of this are that the cases identify the factors of coercive pressure, awareness/prior knowledge, trust in evolution of standard and costs as possible to influence.
This research is one of the first studying the factors affecting de jure standards adoption by high-tech start-ups. There are multiple points of contribution to theoretical literature: the aforementioned list of identified factors and their respective effects on de jure standards adoption, and the factors that were determined possible to influence. ...
This thesis is setup as a theory-building, explorative case study consisting of 3 rounds of data collection. The first is a literature review into the studies of de jure standards adoption and the determination of which major recurring theories and frameworks are applied in these studies. Three major recurring applied theories were found, the diffusion of innovation, neo-institutionalism and the network economics approach applied in the TOE framework. A list of potential factors was formulated from the factors applied in the relevant studies, using the aforementioned theories and frameworks. The literature-backed list consists of: (1) Perceived relative advantage, (2) Perceived compatibility, (3) Perceived complexity, (4) Observability, (5) Competitive pressure, (6) Environmental uncertainty, (7) Mimetic pressure, (8) Coercive pressure, (9) External support, (10) Normative pressure, (11) Management support, (12) Centralization, (13) Formalization, and (14) Organizational size.
This list of factors was used as a basis for the 2nd step of data collection in this case study: the 1st round of semi-structured interviews. This 1st round of interviews consisted of interviews with 6 cases: 5 Dutch high-tech start-ups and a NEN official. The interview transcripts were codified and analyzed to determine which factors the start-ups identify, and which effect they mention the factor has. Factors were also mentioned that were not included in the literature-backed list. These were axially (thematically) analyzed to formulate new propositional factors. The transcripts were then analyzed again to determine if the new propositional factors were mentioned by the others as well, and which effect they mention. This data is used to build upon the literature-backed list of factors. The result is thus a list of factors consisting of literature-backed factors that were identified and the new propositional factors. In other words, a list of factors that the high-tech start-ups and the NEN official identify. This list consists of: (1) Perceived relative advantage, (2) Perceived compatibility, (3) Perceived complexity, (4) Environmental uncertainty, (5) Mimetic pressure, (6) Coercive pressure, (7) External support, (8) Normative pressure, (9) Management support, (10) Centralization, (11) Formalization, (12) Organizational size, (13) Awareness/prior knowledge, (14) Processual characteristics, (15) Trust in evolution of standard and (16) Costs. The effects of the standards were also collected, interpreted and discussed. A significant outcome is that there is a distinction between the adoption of a single standard and the adoption of a combination of standards and that this can be seen as a factor, which has a moderating effect on certain other factors.
The last round of data collection consisted of a 2nd round of semi-structured interviews with 2 cases: (1) a NEN official and (2) two standards organization experts. These interviews were to determine which factors the cases identify as possible to influence and how. The results of this are that the cases identify the factors of coercive pressure, awareness/prior knowledge, trust in evolution of standard and costs as possible to influence.
This research is one of the first studying the factors affecting de jure standards adoption by high-tech start-ups. There are multiple points of contribution to theoretical literature: the aforementioned list of identified factors and their respective effects on de jure standards adoption, and the factors that were determined possible to influence.