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Systems thinking calls for a shift of our mindset from seeing just parts to seeing the whole reality in its structured dynamic unity and interconnectedness. Systems thinking fosters a sensibility to see subtle connections between components and parts of reality, especially the free enterprise capitalist system (FECS). It enables us to see ourselves as active participants or partners of FECS and not mere induced factors of its production–distribution–consumption processes. Systems thinking seeks to identify the economic “structures” that underlie complex situations in FECS that bring about high versus low leveraged changes. A system is strengthened and reinforced by feedback of reciprocal exchanges that makes the system alive, transparent, human, and humanizing.

In Part I, we explore basic laws or patterns of behaviors as understood by systems thinking; in Part II we examine the basic archetypes or structured behaviors of systems thinking; in both parts we strive to see reality through the lens of critical thinking to help us understand patterns and structures of behavior among systems and their component parts. In conclusion, we argue for compatibility and complementarity of critical thinking and systems thinking to identify and resolve management problems created by our flawed thinking, and sedimented by our wanton assumptions, presumptions, suppositions and presuppositions, biases, and prejudices. Such thinking will also identify unnecessary economic and political structures of the self-serving policies we create, which imprison us.

This research aims to model the existing system of destination competitiveness, identifies leverage points and develop revised model to achieve sustainable competitiveness.

System dynamics is used as method of modeling destination competitiveness. Structure of model utilizes 9-factor model as reference. Leverage points are identified using system archetypes. Revised model is built with resource-based view (RBV). Case study was conducted in Samosir, Toba Lake. Data used are secondary data and results of in-depth interviews.

There are 3 sub-systemic characteristics (archetypes) that hinder competitiveness. They are limit to growth quality gap, fix that fails infrastructure and promotion, tragedy of common lake pollution. Destination was unable to meet tourist expectations. Tourists spending decreased, demand size was small. Industries are unable to increase capabilities. Professionals, entrepreneurs, local workers, supporting industries are less interested in entering industry. Government policies do not match with destination's needs. Lake as main attraction is getting polluted. To achieve sustainable competitiveness, destination must utilize their valuable, rare and inimitable (VRI) resources and capabilities to design unique experiences for tourists, hence sustainable.

Government policy should be shifted to prioritizing development of valuable, rare, inimitable and well-organized resources and capabilities of destination, to produce unique tourist experience and achieve sustainable competitiveness.

Methods and findings, combining system dynamics, system archetype, 9-factor model and RBV to achieve sustainable competitiveness is novel and can enrich tourism sustainable competitiveness theory/concept.

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.

Crowdfunding (CF) is a digital-financial innovation that, bypassing credit crisis, bank system rigidities and constraints of the capital market, is allowing new ventures and established companies to get the needed funds to support innovations. After one decade of research, mainly focused on relations between variables and outcomes of the CF campaign, the literature shows methodological lacks about the study of its overall behavior. These reflect into a weak theoretical understanding and inconsistent managerial guidance, leading to a 27% success ratio of campaigns. To bridge this gap, this paper embraces a “complex system” perspective of the CF campaign, able to explore the system's behavior of a campaign over time, in light of its causal loop structure.

By adopting and following the document model building (DMB) methodology, a set of 26 variables and mutual causal relations modeled the system “Crowdfunding campaign” and a data set based on them and crafted to model the “Crowdfunding campaign” with a causal loop diagram. Finally, system archetypes have been used to link the causal loop structure with qualitative trends of CF's behavior (i.e. the raised capital over time).

The research brought to 26 variables making the system a “Crowdfunding campaign.” The variables influence each other, thus showing a set of feedback loops, whose structure determines the behavior of the CF campaign. The causal loop structure is traced back to three system archetypes, presiding the behavior in three stages of the campaign.

The value of this paper is both methodological and theoretical. First, the DMB methodology has been expanded and reinforced concerning previous applications; second, we carried out a causation analysis, unlike the common correlation analysis; further, we created a theoretical model of a “Crowdfunding Campaign” unlike the common empirical models built on CF platform's data.

This paper aims to critically analyse the circular economy (CE) models adopted in hospitality and tourism to tackle societal challenges in the current Anthropocene era, exploring the driving values and sustainability approaches.

A systematic literature review was carried out with an increasing level of analysis to delve more in-depth into the ability of the CE models to respond to current societal challenges. The review involved a stepwise analysis, starting with a thematic analysis of 151 papers to create a conceptual structure map of circular hospitality and tourism literature. Based on originality and representativeness, 22 papers were selected and analysed according to Hoffman and Jennings’ (2018; 2021) institutional approach to sustainability, which entails specific archetypes to address the Anthropocene society: market rules, technology fix and cultural re-enlightening.

The hospitality and tourism industry has made progress towards implementing CE models. However, CE models in market role and technology fix archetypes may fail to address the current challenges of the Anthropocene era. New culture-led approaches within the cultural re-enlightening archetype, such as the regenerative land practices, a-growth and place-making, and circular society, can foster a more radical shift towards strong sustainability.

The paper highlights the urgent need for a cultural shift towards radical and strong sustainability, identifying future research directions. Policymakers have a crucial role in shaping sustainability practices consistent with an ecological culture centred on acknowledging planetary boundaries.

Despite the increasing interest in CE models, it is still debated how the hospitality and tourism industry can continue to thrive while avoiding harmful impacts on the environment and local communities. The study critically reflects on the current contribution of CE models towards strong sustainability in hospitality and tourism.

This research is intended to assess the nickel smelter industry’s investment competitiveness in Indonesia and identify ways to improve its competitive advantage for the nation.

This research uses a sequential mixed-methods approach, expanding on a first qualitative phase with a second quantitative phase. Interviews are used in the qualitative phase to identify the underlying causes of issues and potential solutions to increase the competitiveness of the nickel smelter industry, while a system dynamics (SD) model is used to conduct the quantitative phase. This study uses the idea of a country’s competitive advantage from Porter’s diamond model (PDM). The model was tested and validated using SD simulation resulting in a new policy scenario, which was evaluated in metallurgy expert conferences and high policymaker discussion forums.

The results reveal the complexity of the nickel smelter industry in Indonesia and conclude that the integrated export duty beneficence policy is the most effective way to boost competitiveness. This policy gives a significant improvement both in the number of smelters and state revenue compared to the current policy. The industry’s investment competitiveness is enhanced by the six factors of the diamond model, with the first three factors being integrated strategy, limited export of excess production and export duty beneficence, while the remaining factors are metal price fluctuation, domestic demand and mineral supply which are related to mining conditions uncertainty.

The research creates a SD model to support Indonesia’s competitive advantage in the smelter industry. Despite limitations like interpretations and distorted semantic analysis, it provides a useful framework for exploring complex industry themes, excluding social factors due to limited data and knowledge requirements.

The findings of this research offer a framework for policymaking by the government to enhance the competitiveness of investments in Indonesia’s nickel smelter industry.

This study delves into Indonesia’s nickel industry competitiveness using PDM. Using a more detailed SD model with quantitative analysis, it goes beyond strategy development to provide a comprehensive approach to the nickel smelter industry.

The aim of this paper is to understand if service innovation (Helkkula et al., 2018), based on artificial intelligence (AI) systems, may guarantee healthcare service ecosystem (H-SES) well-being (Frow et al., 2019; Beirão et al., 2017), taking into account that many doubts relieved in terms of transparency may compromise the patients' perceived quality of health services provided through AI systems.

A literature review on service innovation, detected in terms of value co-creation, and service ecosystem, investigated in terms of well-being, is drawn. To analyze the implications of service innovation on a H-SES well-being, through the technology acceptance degree and predisposition to use by actors, a case study based on TAM-model 3 determinants as categories is carried out.

AI-based service innovation archetypes in healthcare may be considered as antecedents of the service ecosystem well-being conditions as long as they enable actors to co-create value. To make it possible, a patient-driven service innovation is necessary in order to mitigate the risks of its inactivity due to fears in terms of transparency.

Service innovation and service ecosystem well-being may be studied in an integrated way, with a multidisciplinary approach, and are linked by value co-creation, because only thanks a patient-driven service innovation is possible to foster service ecosystem well-being in healthcare.

This study examines whether different strategy archetypes deploy specific performance metrics to support their strategic goals and priorities. If so, does alignment of strategy and metrics positively impact organisational performance?

The conceptual framework and hypotheses are couched in Contingency Theory. The role of business strategy as a moderating variable is tested using MANOVA, followed by post hoc pairwise comparisons. The results are based on cross-sectional survey data from 372 manufacturing and service organisations in Italy.

The overall contingency effect of business strategy in selecting and deploying performance metrics and their effect on organisational performance is supported. However, the group-wise post hoc analyses show support only for Prospectors but not for Defenders and Analysers.

This research lends further support in favour of the Contingency Theory from a new geographic context (Italy) that there are no universally best performance metrics that drive organisational performance. However, more research is needed to understand why the theory only holds for certain strategic archetypes and not across all archetypes.

Managers can direct resources and effort towards designing and deploying the “right” type of performance metrics suitable for their strategic orientation and thus optimise organisational performance.

This is a rare study that tests the moderating role of business strategy using all four strategic archetypes of the Miles and Snow typology. It deploys both financial and non-financial measures and uses a very large sample of both manufacturing and service organisations from a relatively unexplored region of the world. The study provides additional evidence in favour of the Contingency Theory whilst advocating for more research to refine our understanding of why the contingency perspective is not so important for firms that are not the first-in.

The ageing and disabled population is fast growing, which emphasises the need to effectively modify current homes and environments to support healthy ageing and increasingly diverse health needs. This paper aims to bring together findings and analyses from three adaptations-focussed projects, drawing on perspectives from key stakeholders alongside the lived experiences of service users acquiring adaptations.

Following an Adaptations Framework developed from interviews and focus groups with older people and key stakeholders, the paper discusses barriers experienced by older people and front-line workers in receiving and delivering adaptations through all stages of the process.

This paper reveals how experiences around adaptations might diverge with unseen, hidden investment and need amongst individuals, and how conceptual and cost-focussed evidence gaps impact wider understandings of adaptations delivery. In so doing, this paper highlights how the adaptations process is perceived as a “fight” that does not work smoothly for either those delivering or receiving adaptations services.

The paper suggests a systematic failure such that the adaptations process needs to be rehauled, reset and prioritised within social and public policy if the housing, health and social care sectors are to support healthy ageing and prepare for the future ageing population.

The paper brings together insights from key stakeholders alongside service users' experiences of adaptations to highlight key policy drivers and barriers to accessing and delivering adaptations.