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This paper aims to understand the two-way interaction between corporate social responsibility (CSR) and the attractiveness of organization to job seekers (AOJS).

A system dynamics model is developed in the form of a causal loop diagram (CLD) that explains the CSR-AOJS interaction dynamically. To test the credibility of the developed model, the survey data are used to validate the causal relationships in the CLD.

This study found that developing an effective strategy or tool by capturing various essential CSR elements can attract potential job seekers.

The developed model is relevant to policymakers, decision-makers and managers when strategizing the CSR plan to attract potential job seekers.

This study aims to address the need for robust conceptual foundations in the digital nomadism discourse through a systematic literature review (SLR). It delves into digital nomadism within sustainable tourism, providing valuable insights to foster community development.

This study uses a rigorous eight-step process that combines an SLR and a system dynamics approach. In the SLR phase, the authors use the theory, context, characteristics and methodology framework to identify key variables for a dynamic model of sustainable tourism through digital nomadism, following detailed search and selection criteria based on PRISMA guidelines. The second phase uses causal loop diagrams (CLDs) from the literature review to visualize relationships and inform future research directions. The CLD model is validated through literature-based and stakeholder interaction processes, focusing on the social, economic and environmental dimensions, resulting in the development of a robust conceptual model.

This study identified 28 theories, including agency–structure theory, travel career ladder theory, stakeholder theory and grounded theory, among others. Semi-structured interviews were the primary research method. Major themes explored encompass community interactions, work lifestyles, cultural aspects, financial considerations, infrastructure and policy. The proposed conceptual model aims to scrutinize relationships across economic, environmental and social dimensions, providing a foundation for investigating and promoting sustainable tourism.

Policy implications involve refining taxation policies to maintain tax bases, promoting collaborative economic models and enforcing environmental regulations. Additionally, integrating community planning infrastructure and implementing demographic strategies to manage potential population shifts are crucial. Policies supporting education, skill transfer, health and well-being initiatives contribute significantly to fostering sustainable tourism practices and enhancing community vitality.

To the best of authors’ knowledge, this study is the first in the digital nomadism space to propose a conceptual model for sustainable tourism adoption.

本研究通过系统的文献综述解决了数字游牧话语中对坚实概念基础的需求。它深入研究了可持续旅游业中的数字游牧主义, 为促进社区发展提供了宝贵的见解。

本研究采用严格的八步流程, 结合了系统文献综述（SLR）和系统动力学方法。在 SLR 阶段, 我们利用 TCCM 框架, 遵循基于 PRISMA 指南的详细搜索和选择标准, 通过数字游牧主义确定可持续旅游业动态模型的关键变量。第二阶段利用文献综述中的因果循环图（CLD）来可视化关系并为未来的研究方向提供信息。 CLD 模型通过基于文献和利益相关者互动过程进行验证, 重点关注社会、经济和环境维度, 从而开发出稳健的概念模型。

本研究确定了 28 种理论, 包括代理结构理论、旅游职业阶梯理论、利益相关者理论和扎根理论等。半结构化访谈是主要的研究方法。探讨的主要主题包括社区互动、工作生活方式、文化方面、财务考虑、基础设施和政策。提出的概念模型旨在审查经济、环境和社会维度之间的关系, 为调查和促进可持续旅游业提供基础。

政策影响包括完善税收政策以维持税基、促进协作经济模式以及执行环境法规。此外, 整合社区规划基础设施和实施人口战略以管理潜在的人口变化也至关重要。支持教育、技能转让、健康和福祉举措的政策对促进可持续旅游实践和增强社区活力做出了重大贡献。

据作者所知, 这项研究是数字游牧领域第一个提出可持续旅游业概念模型的研究。

Este estudio aborda la necesidad de fundamentos conceptuales sólidos en el discurso del nomadismo digital, mediante una revisión sistemática de la literatura. Profundiza en el nomadismo digital dentro del turismo sostenible, proporcionando un conocimiento valioso para fomentar el desarrollo comunitario.

Este estudio emplea un riguroso proceso de ocho pasos que combina una revisión sistemática de la literatura (SLR) y un enfoque de dinámica de sistemas. En la fase SLR, utilizamos el marco Teoría-Contexto-Características-Metodología (TCCM) para identificar variables clave para un modelo dinámico de turismo sostenible a través del nomadismo digital, siguiendo criterios detallados de búsqueda y selección basados en las directrices del método de elementos de notificación preferidos para revisiones sistemáticas y metaanálisis (PRISMA). La segunda fase utiliza diagramas de bucles causales (CLD) a partir de la revisión de la literatura para visualizar las relaciones e informar sobre futuras direcciones de investigación. El modelo CLD se valida mediante procesos basados en la literatura y en la interacción con las partes interesadas, centrándose en las dimensiones social, económica y medioambiental, lo que da como resultado el desarrollo de un modelo conceptual sólido.

Este estudio identificó 28 teorías, entre ellas la teoría de la estructura de agencia, la teoría de la carrera profesional en los viajes, la teoría de las partes interesadas y la teoría fundamentada. Las entrevistas semiestructuradas fueron el método de investigación primordial. Los principales temas explorados abarcan las interacciones comunitarias, los estilos de vida laborales, los aspectos culturales, las consideraciones financieras, la infraestructura y la política. El modelo conceptual propuesto tiene como objetivo examinar las relaciones entre las dimensiones económica, medioambiental y social, proporcionando una base para investigar y promover el turismo sostenible.

Las implicaciones políticas conllevan el perfeccionamiento de las políticas fiscales para mantener las bases impositivas, el fomento de modelos económicos colaborativos y el cumplimiento de la normativa medioambiental. Además, es fundamental integrar la infraestructura de planificación comunitaria y aplicar estrategias demográficas para gestionar los posibles cambios en la población. Las políticas de apoyo a las iniciativas de educación, transferencia de habilidades, salud y bienestar contribuyen significativamente a fomentar prácticas de turismo sostenible y a mejorar la vitalidad de la comunidad.

Hasta donde el autor sabe, este estudio es el primero en el espacio del nomadismo digital que propone un modelo conceptual para la adopción del turismo sostenible.

The overarching objective of this paper is to examine the cause–effect relationships among building and information modeling (BIM)-related risk factors and their impact on the implementation of BIM in construction projects.

This paper draws on previous research to identify and categorize BIM-related risk factors. It then develops a system dynamics (SD) model to examine the cause–effect relationships among these factors leading to issues in BIM implementation.

The proposed SD model illustrates how nine reinforcing feedback loops provide connections between four categories of risks, namely, technical, information, legal and organizational risks and, consequently, create vicious cycles that threaten the successful implementation of BIM.

This paper is among a few studies that depart from reductionism by taking a holistic approach and demonstrating how the interactions between BIM-related risk factors lead to vicious cycles that threaten the successful implementation of BIM.

Despite various consequences for different stakeholders in the mustard ecosystem, India prohibited blending in mustard oil to achieve self-reliance in edible oils and promote consumer health. This paper uncovers the implications of this policy on mustard production, consumption and prices.

This paper deploys system dynamics (SD) to model the mustard ecosystem. SD uses simulation modeling to comprehend the nonlinear behavior of complex systems over time utilizing causal-loop and stock-flow diagrams.

While the mustard price does not vary in the short run, it diverges toward a higher side in the long run due to the changed policy mandate. Surprisingly, due to the predominance of market prices, the policy administered minimum support price (MSP) was found to have a limited influence on mustard prices. Hence, the focus should be on supply augmentation through non-price-based measures like disseminating information to enhance the yield rate of seed production and promoting the adoption of efficient technologies with higher oil conversion efficiency.

The paper allows policymakers to quantitatively evaluate the effectiveness of policy interventions to mitigate the adverse impacts of policy mandate. It presents a reliable roadmap for policymakers to roll out effective policies.

The paper uncovers the system-level impact of policy on stakeholders and examines the effectiveness of MSP.

This study aims to develop a system dynamics (SD) simulation model to forecast the performance of the Indonesian halal industry to verify whether decision-making has been properly executed to increase the contribution of the success factors.

This study establishes a SD-based model using three subsystems, namely, the halal assurance and certification process, the government and the export–import subsystem.

The best scenario is the third scenario or the combined scenario of providing facilities to accelerate the micro-, small- and medium-sized enterprises (MSMEs), carrying out halal certification, reducing the time for the certification process, increasing the number of the halal auditor and increasing the awareness from enterprises (both MSMEs and large enterprises) to carry out halal certification because of the internal and external motivations.

First, the demand for certification of the type of food product is acquired using the number of SMEs and large companies. Second, the model does not include the government budget as a constraint.

This study provides essential insights into implementing the best policies that can increase the performance of the halal industry.

This study revealed that relevant policy scenarios could be built after simulating and analyzing each scenario’s effect on the halal industry’s performance.

This study will enrich the scientific insight related to institutional theory and resource-based view, as those theories identify success factors associated with the performance of the halal food industry. This study will also enrich the scientific insight related to system dynamic methodology, as it is used to model the performance of the halal industry.

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.

The ripple effect (i.e. disruption propagation in networks) belongs to one of the central pillars in supply chain resilience and viability research, constituting a type of systemic disruption. A considerable body of knowledge has been developed for the last two decades to examine the ripple effect triggered by instantaneous disruptions, e.g. earthquakes or factory fires. In contrast, far less research has been devoted to study the ripple effect under long-term disruptions, such as in the wake of the COVID-19 pandemic.

This study qualitatively analyses secondary data on the ripple effects incurred in automotive and electronics supply chains. Through the analysis of five distinct case studies illustrating operational practices used by companies to cope with the ripple effect, we uncover a disruption propagation mechanism through the supply chains during the semiconductor shortage in 2020–2022.

Applying a theory elaboration approach, we sequence the triggers for the ripple effects induced by the semiconductor shortage. Second, the measures to mitigate the ripple effect employed by automotive and electronics companies are delineated with a cost-effectiveness analysis. Finally, the results are summarised and generalised into a causal loop diagram providing a more complete conceptualisation of long-term disruption propagation.

The results add to the academic discourse on appropriate mitigation strategies. They can help build scenarios for simulation and analytical models to inform decision-making as well as incorporate systemic risks from ripple effects into a normal operations mode. In addition, the findings provide practical recommendations for implementing short- and long-term measures during long-term disruptions.

Request for information (RFI) documents play a pivotal role in seeking clarifications in construction projects. However, perceived as inevitable “non-value adding” tasks, they harbour risks like schedule delays and increased project costs, underlining the importance of strategic RFI management in construction projects. Despite this, a lack of literature dissecting RFI processes impedes a full understanding of their intricacies and impacts. This study aims to bridge the gap through a comprehensive literature review, delving into RFI intricacies and implications, while emphasising the necessity for strategic RFI management to prevent project risks.

This research study systematically reviews RFI-related papers published between 2000 and 2023. Accordingly, the review discusses key themes related to RFI management, yielding best practices for industry stakeholders and highlighting research directions and gaps in the body of knowledge.

Present RFI management platforms exhibit deficiencies and lack analytics essential for streamlined RFI processing. Complications arise in building information modelling (BIM)-enabled projects due to software disparities and interoperability hurdles. The existing body of knowledge heavily relies on manual content analysis, an impractical approach for the construction industry. The proposed research direction involves automated comprehension of unstructured RFI content using advanced text mining and natural language processing techniques, with the potential to greatly elevate the efficiency of RFI processing.

The study extends the RFI literature by providing novel insights into the problemetisation with the RFI process, offering a holistic understanding and best practices to minimise adverse effects. Additionally, the paper synthesises RFI processes in traditional and BIM-enabled project settings, maps a causal-loop diagram to identify associated issues and summarises approaches for extracting knowledge from the unstructured content of RFIs. The outcomes of this review stand to offer invaluable insights to both industry practitioners and researchers, enabling and promoting the refinement of RFI processes within the construction domain.

This review paper aims to highlight the causes of delays (COD) and their interactions in construction projects, potentially aiding in timely completion and waste reduction through early anticipation.

Forty-seven global literature were examined in detail to identify CODS and its interactions using the systematic literature review (SLR) method that utilised the PRISMA guidelines to ensure the studies reviewed were adequate to safeguard the robustness and comprehensiveness. Three-way analysis, such as Pareto, degree of centrality and loops, was undertaken to identify the critical Level 1,2 and 3 CODS that affect the Construction projects.

The research findings demonstrate that 65 CODs in eight categories affect construction projects. The CODs act in coherence rather than silos; the CLD displays complex interconnections of 44 factors obtained through the pairwise comparison of the 47 identified literature of the SLR. Through its systematic analysis of interaction loops, this research identified Ten level 1 critical CODs, two second-level critical CODs and 4 Third-level critical CODs. “Contractors' excessive workload/beyond potential/inadequate experience” emerged as the top COD that affects scheduling and project delay.

The study limitations include using only English articles and a restricted number of databases. However, the chosen databases were reputable and underwent thorough peer review processes. This study may have limitations due to the SLR, which means that factors affecting COD and interactions may vary by country, and future research is suggested for validation.

This study identified interactions of construction delays that potentially support scheduling risk management during the early stage of the project and reduce waste to improve sustainability. The theoretical implications of SLR-based research include helping develop a framework that would potentially have all COD in the current scenario and aid future academic and industrial research factor-wise and country-wise in aiding sustainability. This will support and provide construction professionals and academia with knowledge of the COD related to factors and their interactions to be considered in the early assessment and management of future projects and improve sustainability.

Most literature studies the factors or causes of construction delays that affect construction projects. The CODs primarily do not operate in silos but combine with other causes to enhance their influence on delays. Hence, it is of utmost importance to study the interactions of COD to enhance the knowledge in the construction field that would aid in schedule repair and, in turn, on-time project delivery. The study is the first related to COD and their interactions in construction projects in the digital era.

This paper aims to simulate vital corrective actions (CAs) affecting system availability through a system dynamics approach based on the results obtained by analyzing the causal relationships among failure modes and effects analysis elements.

A stock and flow diagram has been developed to simulate system behaviors during a timeframe. Some improvement scenarios regarding the most necessary CAs according to their strategic priority and the possibility of eliminating root causes of critical failure modes in a roller-transmission system have been simulated and analyzed to choose the most effective one(s) for the system availability. The proposed approach has been examined in a steel-manufacturing company.

Results indicated the most effective CAs to remove or diminish critical failure causes that led to the less reliability of the system. It illustrated the impacts of the selected CAs on eliminating or decreasing root causes of the critical failure modes, lessening the system’s failure rate and increasing the system availability more effectively.

Results allow managers and decision-makers to consider different maintenance scenarios without wasting time and more cost, choosing the most appropriate option according to system conditions.

This study innovation would be the dynamic analysis of interactions among failure modes, effects and causes over time to predict the system behavior and improve availability by choosing the most effective CAs through improvement scenario simulation via VENSIM software.