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Remote and isolated indigenous communities in Nunavik (Canada) currently face a number of housing related challenges. This paper proposes a conceptual framework to identify the factors affecting value creation within the supply chain of social housing construction in that region. The term “social” refers to the fact that governments subsidise construction and operation of these buildings intended for low-income households.

The research used a literature review and information collected from 3 semi-structured interviews with key stakeholders to identify the desired features of improvement or solutions (e.g. prefabrication) with respect to value creation. A SWOT analysis, an influence/dependence map and a causal loop diagram were developed to represent the supply chain.

Local job creation and the number of buildings to build were identified as the key factors that can roughly represent value creation. Energy resources, construction time, type and amount of labour force, shipping constraints, number of replacement parts and waste disposal were identified as the main factors constraining the range of solutions to implement.

The framework can be used to support the decision-making in supply chain management and the design of solutions for remote areas such as Nunavik.

This paper is the first to analyse value creation in social building construction in remote and isolated communities such as those from Nunavik. Conceptual models achieved within the framework allowed identifying the factors that could roughly represent this value creation, as well as logical relationships that link them with other factors.

Energy has a strategic role in the social and economic development of countries. Affordability, accessibility and availability of energy sources are the priorities of the governments in energy supply. Therefore, understanding the robustness of energy supply is an important subject of energy researchers and policymakers. This paper aims to analyze the robustness of the electricity system at the national level.

First, the strengths, weaknesses, opportunities and threats analysis is implemented for a selected case study. Then, the expert panel weighed the parameters’ effect on sustainable power generation, the survey is quantified using fuzzy logic. Finally, cross functional analysis is applied to evaluate the influence/dependence of the parameters.

The results show three determinant parameters which have the most influence on the system: fluctuations in oil prices, governmental acts and sanctions against the country. The most dependent parameters, as objectives variables, are the share of renewables and distributed generation (DG), system reliability, power generation diversity and transmission efficiency.

Using future studies methods in the energy level at the nation level has been done for the first time in the current work.

The failure of a bridge is a complex phenomenon due to the involvement of a large number of factors. Bridge failure cannot be attributed to a single cause due to the intricacies involved in the relationship among the factors causing failure. The aim of this paper is to identify the various factors causing bridge failure and show an interdependence/relationship among them.

Interpretive structural modeling (ISM), which is a tool of structural analysis for interactive learning, has been used to develop a hierarchical structure of the phenomenon of bridge failure showing the interrelationship of the causative factors. Impact Matrix Cross Reference Multiplication Applied to a Classification (MICMAC) tool has been used to quantify and classify the factors for bridge failure on the basis of their influence and dependence.

In total, 14 factors, which may contribute to the failure of a bridge, have been identified through the literature survey and interaction with bridge experts. Even though all the 14 factors are important, the authors have found that the environmental factor has the maximum influence, while the age factor is the most dependent of all factors.

The proposed research utilizes the ISM and MICMAC tools and thus has all the limitations of structural modeling. The application of structural equation modeling in the civil engineering field is limited, but it is hoped that a similar approach can be applied in other areas of engineering.

The factors causing bridge failure have been identified and hierarchical interdependence model has been arrived at by using ISM. On the basis of MICMAC analysis, the factors have also been classified into three categories, namely, influent, autonomous and dependent. The study reaffirms the importance of all factors in the overall performance of a bridge.

Energy systems are quickly in transition and their complexity has been dramatically increased. Although there are numerous studies and researches about future of energy in terms of technology or fuels, few studies have been done based on comprehensive socio-technical dimensions of energy systems’ futures. One key question to fill this gap is that how can we consider electricity as a sustainable common good/resource, beyond some conventional considerations related to public or private sector orientation? The purpose of this study is to find an acceptable answer for this question..

To achieve the purpose of this study, after reviewing some relevant studies, key effective factors on the future of energy have been recognized in an expert panel and structurally analyzed by Micmac software based on cross-impact analyze method. Thereafter, four scenarios for transforming the electricity distribution from a monopoly good to a common resource have been developed and described based on scenario workshops method..

Four scenarios for transforming the electricity distribution from a monopoly good to a common resource have been developed and described. These scenarios include “spider grid,” “local grid,” “intermediate grid” and “off-grid.” Furthermore, different dimensions of electricity as a common good/resource have been investigated. As a result, the authors find out that common resource is a creatable concept that can be referred to some goods depending on certain conditions.

Electricity, like any other resource with common characteristics, can be considered and treated as a common resource, depending on the way we generate, share and distribute it, ownership and property rights, management and decision-making mechanisms, social participation processes and governance criteria.

Many devices needed electrical power to work, thus, major energy carriers such as oil and gas were used to generate electrical power via converter mechanisms and special technologies. The microturbine is a developed technology that is remarkable for its relatively high performance and ability to use several types of fuels. Microturbines are economically feasible because of the production of combined heat and power and small-scale applicability. This study aims to investigate microturbine technology development to support modern energy access in a developing country (i.e. Iran).

This paper presents a technology foresight methodology to create plausible futures of microturbine development in Iran when the country faces different driving forces and uncertainties. On other hand, the paper deals with a theoretical question: how to select appropriate foresight methodology? A procedure is proposed, which equipped the research team to select appropriate method combinations based on Popper’s diamond. Finally, the selected methodology includes defining focal issues environmental scanning and patent analysis aimed at developing five plausible scenarios for microturbine development future in Iran and creating shared visions among policymakers.

This paper proposed a series of scenarios on the path to developing microturbine technology. The scenario development logic in a participatory way contains a common four-quarter technique that attempts to depict scenarios based on two critical uncertainties inclusive energy price and technology obsolescence, which will shape the future. Also, a scenario is presented to describe a wild card that can disturb the desired futures. Such materials help decision-makers to policies under plausible conditions that guarantee a robust policy basket.

The originality of this paper can be studied based on two aspects, first, the methodology that provides a systematic method selections procedure in an emerging complex technology development program. Second, from the practical aspect, this paper is one of the very first attempts to manage the microturbine technology development program. Then, results are used to feed the policy-making process in Iran.

Primary agricultural cooperative credit societies (PACSs) in India are considered to be the backbone of the last mile delivery of rural credit for landless and marginal farmers and the poorest sections of the society. Contribution of PACS in social welfare is well documented. However, in spite of being such important form of organization at the grass root level, the authors find a typical baffling phenomenon which is fluctuating growth of PACS. Given that PACS have not been able to establish a consistent growth rate, thus hindering its trajectory to become a strong and consolidated organizational form, it is natural to investigate and identify those success factors that are critical for a newly formed PACS to survive and sustain. Hence it is necessary to undertake a strategic assessment of the function of PACS and hence identify those critical success factors (CSFs). This paper aims to address this issue.

The authors review the existing literature and conduct interview with experts and other stakeholders with the purpose to gain a view of the strategic situation of PACS in India, especially with respect to their birth and death processes and identify a set of factors that are critical to the survival and sustenance of PACS. Based on the inputs from the experts, we modelled the interrelationships amongst these CSFs using interpretive structural modelling (ISM). Further, fuzzy Matriced’ Impacts Croise's Multiplication Appliquée a UN Classement (MICMAC) analysis is performed to cluster these CSFs into four quadrants based on their influence and dependence in the system.

The findings point out that a hierarchical interconnected structure exists amongst the CSFs that influence the survival and sustenance of the PACSs. “Quality and Motivation of Management” was found to be driving all other factors so far the survival of any PACS is considered. Also the authors have found that “Loan Recovery” is the most sensitive factor that needs to be taken care of for the sustenance of PACS. These findings are in the expected line and commensurate with the conventional wisdom yet to be documented till date.

It is a forward-looking analysis that tries to find out the CSFs for the survival of PACS in order to face the changing economic scenario of India which is still agrarian in nature. Both in terms of research question as well as methodology, to the best of the authors’ knowledge, this is first of its kind so far PACS are concerned being one of the most important but neglected entities in India; so far the last mile rural agricultural credit delivery is concerned, this study will help the policy makers to develop a holistic viewpoint in relation to long term sustenance of PACS.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-05-2022-0331

The purpose of this paper is to provide the empirical evidence supporting the existence of a multi-level hierarchical TQM model showing the structural inter-relationships among a total of 16 TQM variables (i.e. drivers, enablers and outcomes).

The set of identified TQM variables is the product of an in-depth review of the literature, and a robust reiterative process of verification and validation. Inter-relationships among the TQM variables were subjected to the scrutiny of a panel of experts, and were used as a basis for developing a web-based survey to explore the existence as well as strength of the structural relationship between each and every pair of the identified variables using interpretive structural modelling and MICMAC (Impact Matrix Cross-Reference Multiplication Applied to a Classification).

TQM variables were classified and clustered based on their influence and dependence on each other. Variables such as commitment by top management and customer satisfaction appear to have a strong chance to affect change, whereas variables such suppliers and competitors are very dependent on, and sensitive to, the evolution of the influent variables.

The paper demonstrates a multi-level TQM model encompassing all identified TQM drivers, enablers, and outcomes. The paper not only addresses a gap in the relevant literature (reduces the evidence scarcity about the hierarchical nature of TQM variables), but also gives insights into the variables with most driving power needing greater management attention.

A separate study of the different behavioral biases does not allow for a full understanding of the complexity and stability of the heterogeneity of beliefs. Therefore, through a more global view of these anomalies, the authors wish to show that they can converge on a single concept, which is the heterogeneity of beliefs.

It is therefore essential to stress that the importance of this study is mainly reflected in the methodological approach used in the construction and analysis of the map and not only in the results achieved. This contribution states that structural analysis, as a means of building the cognitive map, can facilitate the task of investors and other decision-makers, in the identification and analysis of the heterogeneity of beliefs that can therefore guide investors' strategy in decision-making.

The authors have studied the behavior of the investor and its way of interpreting the information and the authors have emphasized the value of studying the concept of heterogeneity of beliefs in its complexity. So that part of the work seems to be relevant and crucial to filling, if you will, that void. In this sense, the authors have shown that behavioral abnormalities are multidimensional concepts: “self-deception”, “cognitive bias”, “emotional bias” and “social bias”.

In particular, this article will aim to achieve the objective of proposing a model for measuring the heterogeneity of beliefs. Thus, the authors want to show that the heterogeneity of beliefs can be measured directly through the different behavioral anomalies.

The purpose of this paper is to introduce a method that the authors call stakeholder cross-impact analysis (SCIA), which is aimed at analyzing how a given set of stakeholders influence one another and also how such stakeholders relate to a given set of issues.

The authors first identify, in the current literature, a lack of analytical tools for assessing mutual influences among stakeholders. The authors then identify cross-impact analysis, a method that was initially developed in the field of futures research, as a suitable method to be applied in the present research. Its application, which the authors call SCIA, is described in detail through a fictitious case.

SCIA permits to assess the direction and the strength of relationships between stakeholders. Furthermore, it allows for the classification of stakeholders based on their level of dependence and influence on others. Also, it is possible to integrate SCIA with social network analysis in order to understand the degree to which stakeholders agree on how issues influence one another, as well as to identify which issues most stakeholders consider to be central and which stakeholders have the most shared opinion on how issues are related.

This method can be used, along with traditional segmentation techniques, by corporate communication and public relations practitioners in order to gain a more sophisticated understanding of the complexity of organizations’ environments.

SCIA represents a much-needed and novel way of understanding the complexity of organizations’ environments.

The purpose of this research was to study senior and middle-level executive perspectives on ethical decision-making exploring stakeholder cross-impact analysis (SCIA). Given the complexities of business today, stakeholder identification, prioritisation and complexities of reciprocal stakeholder influences have become very important. Various philosophical approaches raised questions than responses to these problems. There was a clear need to find ways through which the worldview of agents could be assimilated and understood.

This study used the original hypothetical short case and brought in middle and senior executive reflections of Indian fast-moving consumer goods (FMCG) managers. Reflections of ten senior and 178 middle-level Indian FMCG managers were presented, exploring ethical dilemmas using short hypothetical case. These reflections have been analysed using the SCIA framework. The paired t-test was performed to compare the reflections of senior and middle-level executives.

The study results indicated that differences emerged regarding stakeholder identification, prioritisation and reciprocal stakeholder influences between Indian middle and senior FMCG executives. Hence, this study paved a reflective space for SCIA. The findings were in line with the tenets of agents’ dilemmas depicted in agency theory.

This study made contribution to theory by integrating the perspective of ethical dilemma confronted by organisational decision-making units (DMUs) with respect to stakeholder influence and prioritisation. Specifically, theoretical contribution was made towards SCIA.

This study would help middle and senior executives to better understand the needs and complexities of stakeholder identification, prioritisation and complexities of reciprocal stakeholder influences.

To the best of the authors’ knowledge, this was one of the first studies from an emerging market context country like India that applied SCIA in the FMCG sector. Organisational DMUs while facing ethical dilemma undertook stakeholder influence vis-a-vis stakeholder prioritisation.