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Investigates what approaches to quality lead to best quality and financial performance across different regions of the world. Reports a survey of 977 firms in Asia/South Pacific, Europe, and North America. Fifty‐two items that suggest how a firm might improve quality were factor analysed and grouped into 11 factors, each factor a broader approach to quality improvement than any one item. Actual quality was measured eight different ways. Each approach to quality improvement (factor) was correlated to each quality measure, as well as to several financial measures. The results suggest that a company’s approach to quality correlates to actual quality and to a lesser extent to financial performance. The major factors found to influence actual quality were the organization’s knowledge of quality management, its degree of customer focus, and management involvement. When the task was to predict performance outcomes in any region, the specific factors that best predict performance were found to vary from region to region. That is, there were specific models within a region that better predicted performance than the model which predicted performance across all regions.

Managerial decision-making is an area of interest to both academia and practitioners. Researchers found that managers often fail to manage complex decision-making tasks and system thinkers assert that generic structures known as systems archetypes help them to a great deal in handling such situations. In this paper, it is demonstrated that decision makers resort to lowering of goal (quick-fix) in order to resolve the gap between the goal and current reality in the “drifting the goals” systems archetype.

A real-life case study is taken up to highlight the pitfalls of “drifting the goals” systems archetype for a decision situation in the Indian two-wheeler industry. System dynamics modeling is made use of to obtain the results.

The decision makers fail to realize the pitfall of lowering the goal to resolve the gap between the goal and current reality. It is seen that, irrespective of current less-than-desirable performance, managers adopting corrective actions other than lowering of goals perform better in the long run. Further, it is demonstrated that extending the boundary and experimentation results in designing a better service system and setting benchmarks.

The best possible way to avoid the pitfall is to hold the vision and not lower the long term goal. The managers must be aware of the pitfalls beforehand.

Systems thinking is important in complex decision-making tasks. Managers need to embrace long-term perspective in decision-making. This paper demonstrates the value of systems thinking in terms of a case study on the “drifting the goals” systems archetype.

The overall objective of this study is to holistically analyse the complexities involved in the adoption of sustainable wood supply chain in the Amazon and to develop strategic interventions to improve the system.

This study uses the systems thinking and modelling framework that included problem structuring followed by the development of a systems model. Tumbira and Santa Helena do Inglês, two Amazonian communities, were used as a case. Data were collected by staying inside the Amazon, observing the community members and interacting with them during their activities, including logging inside the forest.

A behaviour over time (BOT) graph developed as a part of problem structuring showed that deforestation of the Amazon is still increasing, despite the creation of protected areas and NGO activities in the region. Developing a sustainable wood supply chain is considered as one of the approaches for sustainable forestry in the Amazon, but its adoption is slow. The systems model captured the underlying structure of this system and explained this counterintuitive behaviour using eleven interacting feedback loops.

This study is confined to two Amazonian communities and recognises the limitations of generalisations.

This paper illustrates the development of three strategic interventions to improve the adoption of sustainable wood supply chain in the Amazon.

This study highlights the real issues faced by real communities living in the Amazon for adopting sustainable supply chain management (SSCM) practices. It contributes to the literature on sustainable wood supply chain by systemically analysing the challenges in its adoption, not sufficiently discussed in the literature.

Despite a strong research output in quality in recent years, the literature is still scant in empirical studies of commonly held quality theories. Empirically investigates the operational and strategic impact of improved process quality and describes the construction of a model of process quality and its correlates in manufacturing. Using empirical data, the study performs a micro assessment of the impact of quality on operations performance. Implications for the business unit as a whole are also considered. Since the research domain of the study is manufacturing industry, the conformance dimension of quality has been adopted as a more precise and measurable definition than those followed in other research. Structural equation modelling (SEM) is used for analysing the magnitude and direction of hypothesized relationships, a rigorous and reliable way of testing multivariate data and path models. Research findings generally support the consensus view that there is a favourable impact of enhanced quality in the form of improvements in productivity, inprocess inventory, on‐time delivery, and manufacturing cost. Flow‐through effects on business performance were also noted though not in all dimensions. This research complements marketing‐oriented evaluation which has been a feature of approaches to date.

The 1980s have seen the emergence of a new perception of productivity and its relationship to quality, cost and profitability. Supported by the startling success of the Japanese and other East Asian nations, the traditional notion that superior quality and high productivity and profitability are mutually exclusive has been seriously challenged by academics and managers alike. While most company studies point to a positive relationship between quality and productivity, the results of the empirical studies are mixed. Recent research by the author confirms that the quality‐productivity relationship is situation‐dependent. This article first discusses this relationship in the “total productivity” context. Then, some key empirical studies and their results on quality and its correlates, namely, productivity, cost and profitability are presented and discussed. Finally, the areas of vital importance for further research in this field are outlined.

This paper presents a theoretical research framework that was used to analyse operational risk management (ORM) system practices in Australia. It provides a new perspective on how to use national and international operational management system standards as a basis for systematic management of operational risks. Based on the extensive literature review and the analysis of operational risk management system practices that are common in Australian organisations, this paper identifies the critical factors for effective use of an ORM system. The proposed framework could also be used as a model to research ORM system applications in other countries.

The authors developed a pedagogical framework called the game-based structural debriefing (GBSD) to leverage the affordances of video games for teaching systems thinking. By integrating system dynamics visualization tools within a set of debriefing activities, GBSD helps teachers make systems thinking an explicit goal of the gameplay and learning when they use available educational games in the classroom.

This study uses a design-based research methodology with the goals of validating GBSD and investigating the utility of GBSD across different contexts as a design source to develop game-based curriculum. Over the course of 12 months, the authors conducted one focus group interview and three design workshops with participating teachers and master teachers. Between the workshops, the team rapidly iterated the framework, as well as curricular materials, in collaboration with the teachers.

The authors developed a curriculum unit that integrates systems dynamics visualization tools and a video game for middle school life science ecosystem curriculum. The unit was implemented by the three teachers who participated in the co-design. The implementations confirmed the flexibility of the unit because teachers created additional instructional materials that supplemented the GBSD protocol and addressed the unique limitations and needs of their classrooms.

GBSD builds on system dynamics, which is a distinct academic discipline and methodology, and it uses its visualization tools, which are not widely used in the systems thinking educational literature. GBSD is also unique, in that it applies these tools within the debriefing activities developed for an off-the-shelf educational game. This paper illustrates how a design framework can be used to support teachers’ thoughtful integration of games in curriculum development.

The life span of an aircraft is usually around 30 years in the commercial aviation industry. During this time span, aircraft needs maintenance to stay in service. The cost of maintenance, repair and overhaul (MRO) activities in its pure nature is a significant portion of operations, accounting around 10 percent of all cost drivers. The purpose of this paper is to design/develop and critically assess a comprehensive model of operations at Turkish Technic – the MRO department of Turkish Airlines.

A comprehensive systems dynamics model is designed and developed to holistically represent and critically assess the different facets of MRO operations to help in analyzing various decision scenarios at Turkish Airlines.

The developed system dynamics (SD) model presented unique opportunities to test various MRO operations’ work load and aircraft fleet expansion policy alternatives. The model can also be used as a “learning laboratory” by altering various system parameters and testing different policies. The case study results suggested that MRO operations have a direct impact on the available number of airworthy aircrafts and hence, the usable fleet seat capacity; to sustain a profitable airline fleet, the airline companies should take into account the unique characteristics/needs of MRO operations for both existing and new/prospective aircrafts.

There are several SD studies in the literature focusing on the airline industry, but the MRO operations are virtually neglected in them. Hence, the proposed SD model contributed to the extant literature. The value of the developed model stems from its potential use in the critical analysis of decision scenarios as well as being leveraged as a training/learning laboratory.

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.

The execution of product recovery strategies and the definition of an adequate system to manage its performance are crucial to move toward the employment of a successful circular economy (CE) concept. Defining strategies for the efficient management of product recovery requires product data that is difficult to obtain, making it harder to handle. However, efficient product recovery management can play a key role in shifting companies from a linear economy model to a more sustainable CE model, providing economic benefits and increasing customer satisfaction by recovering and adding value to the discarded product. Therefore, this study aims to provide better models to support decision-making and to evaluate product recovery performance.

The present study highlights a comprehensive two-stage decision approach to identify and examine the relevant key performance indicators (KPIs) for performance improvement of an information facilitated product recovery system (IFPRS) in a CE context. In the first phase, a structural equation modeling (SEM) methodology is adopted to categorize the KPIs by employing exploratory factor analysis and measurement of the model fit is obtained using the confirmatory factor analysis. Further, in the second phase, the KPIs are ranked and prioritized on the basis of expert’s recommendations adopting fuzzy-technique for order of preference by similarity to ideal solution (FTOPSIS).

Empirical investigation is conducted by compiling data from an association of six decision-makers (DMs) and two DMs from a respective prospect. The results highlight that “Technology Capacity” is ranked as the highest and is the most prominent KPI for successful employment of IFPRS practices. The results of the study would benefit policy makers and company directors in the selection of KPIs based on their importance in a context of high competition and greater pressure to adopt sustainable practices in the management of their companies.

As far as the authors know, no study has been performed till date to identify and construct a structural KPIs model for IFPRS performance improvement in the context of CE. The paper, therefore, proposes a two-phase SEM-TOPSIS technique to measure the impact of KPIs which is a new integration in the existing literature. The results of the study would benefit policy makers and company directors in the selection of KPIs based on their importance in a context of high competition and greater pressure to adopt sustainable practices in managing their organizations.