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Automatic contingency selection aims to quickly predict the impact of a set of next contingencies on an electric power system without actually performing a full ac load flow. Artificial neural network methods have been employed to overcome the masking effects or slow execution associated with existing methods. However, the large number of input features for the ANN limits its applications to large power systems. In this paper, a novel feature selection method, named the Weak Nodes method, based on a heuristic approach is proposed for an ANN‐based automatic contingency selection for electric power system, especially for the voltage ranking problem. Pre‐contingency state variables of weak nodes in the power system are adopted as input features for the ANN. The method is tested on the 77 busbar NGC derived network by Counter‐propagation Method and it is proved that it reduces the input features for ANN dramatically without losing ranking accuracy.

In literature, it is recognized that there is no universal set of critical success factors (CSFs) applicable to all projects. The goal of this research is to validate a theoretical model which considers that CSFs’ influence on project success (PS) is configurational, that CSFs combine to influence PS.

The authors proposed a theoretical framework which operationalizes CSFs considering contingency and institutional theories' terms, as external contingencies, organizational resources and project strategies, which influence PS. The framework is validated through a qualitative approach on 18 social projects implemented by nongovernmental organizations (NGOs). Based on the conducted semistructured interviews with NGO managers or project managers, 91 instances when CSFs combine to influence PS were identified.

The dominant path reveals the combination of CSFs in terms of strategies adopted to face contingencies (70 instances), another as resources which moderate managers' strategies (14 instances), and in seven instances positive contingencies and resources combine and influence the PS. The results reveal that CSFs combine in reactive and dynamic ways to influence PS.

The research contributes to the vast literature on projects' success by adopting a different perspective. Configurational theory explains project management and projects' complexity better than the traditional approaches, which have a rather correlational perspective.

Much has been written on the effect of fast-moving business environments on organizational and supply chain (SC) management. Yet, empirical findings on the effect of changing external and internal contingencies on today’s globalized agrifood SC networks and performance are still fragmented into different organizational instruments, with some conflicting results remaining unexplained. This study aims to address these deficiencies by providing a comprehensive research framework to investigate how SC external and internal contingencies jointly influence organizational SC network structures and agrifood performance across mutually dependent tiers.

Using partial least squares structural equation modeling, the so-called “contingency–netchain–performance” framework, based on contingent resource-based theory and the netchain approach, was empirically tested on data obtained from a standardized survey of 405 artisanal producers and 238 processors in the Nigerian shrimp sector.

The results provide statistical evidence that supports the path dependency of firm performance from the interplay of vertical, horizontal and lateral relationships and, primordially, from both external and internal contingencies. The findings show that the contingency paradigm of fit among small-scale food producers and processors cuts across tiers and uncover a tendency to adopt relational governance and tighter network structures that result in an organic organization as the best-fitting structure.

The paper presents a new research framework that offers comprehensive empirical explanations for the joint influence of SC external and internal contingencies on organizational SC network structures and performance across mutually dependent agrifood tiers. This study’s conceptual, practical and policy implications for SC management provide a nascent and flexible basis on which to identify the best-fitting organizational strategies that maximize firm performance across agrifood SC tiers characterized by changing business environments.

This paper aims to describe the levels and type of contingency faced by school principals in Chile and the way certain aspects of the Chilean school system result in a greater or lesser presence of these contingencies.

The results reported here are based on the application of a structured questionnaire to 381 elementary school principals in Chile. A “Leadership Contingency Index” was created to analyze the extent and characteristics of this phenomenon, which was complemented with a multiple regression analysis to observe the variables that influence the levels of contingency.

This study has shown that the main contingencies faced by school leaders in Chile revolve around the relationship between actors: assist families, relationship with and among students and resolution of school staff problems. Also shows that the level of contingency faced by principals is strongly conditioned by the socio-educational context of the school and is not related to the individual characteristics of the leaders. This level of contingencies is significantly higher in the public system, although the most recurrent contingencies are the same in each type of school administration (public, private subsidized and privately funded schools).

This paper addresses an important but relatively unexplored dimension in specialized research on leadership: variable contingencies under which the leadership role is performed daily, including significant gaps between schools. Understanding and analyzing school leadership from the perspective of the complexity of tasks currently faced by principals, many of them highly unpredictable, ensures a realistic view of the possibilities and limitations of leadership in action and, consequently, provides better tools to strengthen the school leadership role and its contribution to improving student learning.

Blockchain is increasingly being considered for applications in operations and supply chain management. However, evidence from practice is still scarce on why, where and how organizations seek to apply the technology in the supply chain across different industries. The study develops a comprehensive framework to enhance understanding of the application areas of blockchain technology in the supply chain, as well as organizations' motivations in seeking blockchain solutions and relevant contingency factors influencing applications.

The authors investigate 50 use cases of blockchain applications in the supply chain, covering six industries. Contingency theory is applied in conducting a qualitative textual and correlation analysis to identify and compare blockchain adoption motivations, application areas and contingency factors across different industries.

The analysis develops an evidence-based framework that captures ten principal motivations in seeking blockchain solutions, three main blockchain application areas along with important application sub-categories and five clusters of contingency factors that influence blockchain deployment and its uses in different industrial sectors.

The study expands the limited cross-sectoral research on blockchain applications and motivations in the supply chain. Using contingency theory, it presents a comprehensive framework that captures the drivers and factors relating to blockchain adoption in the supply chain in a nomological network. The study lays the foundation for further theoretical perspectives and empirical research to investigate relevant sectoral characteristics and their importance for different types of blockchain application in the supply chain.

The study informs practitioners about potential supply chain application areas that can be enhanced through blockchain technology, taking account of the specific characteristics of their products, business and manufacturing processes, supply network configurations, industry standards, regulations and market demand.

The study is the first to provide cross-sectoral evidence on the relevance of organizations' motivations and numerous contingency factors on blockchain application areas in the supply chain.

The purpose of this paper is twofold: first, to validate the Contingencies of Self-Worth Scale (CSWS) for adolescents with autism spectrum disorder (ASD) and typically developing individuals and, second, examine the association between contingencies of self-worth and subjective adjustment to school.

A self-report was used to examine both contingencies of self-worth and subjective adjustment to school in adolescents with ASD and typically developing individuals.

First, the validity and reliability of the CSWS was verified. Second, the scale was not significant correlation with subjective adjustment to school and contingencies of self-worth in adolescents with ASD. As the reason for this, it has been suggested that there are adaptive aspects and maladaptive aspects in contingencies of self-worth.

This is an original research designed to examine contingencies of self-worth in adolescents with ASD.

This paper aims to explore how purchasing could respond to disruptive technologies by examining the assumptions underlying purchasing strategic alignment and purchasing maturity through a contingency lens.

This study uses a systematic review across purchasing maturity and purchasing strategic alignment literature. This is supplemented with exploratory case studies to include practitioners’ views.

This research demonstrates that neither purchasing maturity nor purchasing strategic alignment are suitable approaches to respond to disruptive technologies. Purchasing maturity does not allow purchasing managers to select relevant practices. It also shows no consideration of any contingencies, which practitioners highlight as important for the selection of practices. Purchasing strategic alignment includes the company strategy as a contingency but does not provide any practices to choose from. It does not include any other contextual contingencies considered important by practitioners. The findings indicate that linking the two research streams may provide a more suitable approach to responding to disruptive technologies.

This research demonstrates the requirement to develop a new approach to responding to disruptive technologies, by linking purchasing maturity and purchasing strategic alignment to contextual contingencies. This is a currently unexplored approach in academic literature, which refutes the generally accepted premise that higher maturity unilaterally supports a better positioning towards technological disruption. This research also highlights a requirement for practitioners to shift their approach to “best practices”.

This is the first research to systematically review the relationships between purchasing maturity and purchasing strategic alignment. It adds to contingency theory by suggesting that purchasing maturity models can support the achievement of strategic alignment. Also, future research directions are suggested to explore these relationships.

The purpose of this paper is to examine the influence of different antecedent factors (contingencies) on the design of a service recovery system (SRS).

A conceptual model was framed and a series of hypotheses generated and tested using data from 158 practicing managers using a multivariate general linear modeling technique.

The analyses indicated that firms, by and large, mainly considered environmental factors in the SRS design. Additional evidence suggests that managers do consider other contingencies but may do so in a fragmented manner. The results presented herein indicate that firms design back-office aspects of SRS in response to external factors (i.e. the environmental contingency). In contrast, the front-office components appear to have more diverse antecedents but are strongly influenced by the firm’s recovery orientation. The specific recovery practices appear to be implemented per industry standards. In sum, evidence indicates that there are diverse driving factors to total SRS design.

Limitations are based primarily on the methodology as data were obtained from a single person who represented the entire SRS. Care was taken in the study design in order not to compromise the validity of the findings.

The results indicated that managers responsible for system design need to be holistic in SRS design to more tightly link decisions across multiple contingencies so as to more fully integrate total service system design. This is potentially accomplished through the inclusion of aspects of all relevant contingencies when designing recovery systems.

This paper’s main contribution is that it employs established theory to develop and test a model to show that firms consider multiple contingencies while designing SRS. It contributes to the emerging body of work on SRS design by providing insights that can be considered as driving forces behind the design of SRS.

The research investigates the effectiveness of the performance measurement alignment approach which claims that measurement diversity (multiple performance measures) should be aligned with organisational contingencies to enhance organisational performance.

The theoretical framework is contingency theory. The study is an empirical investigation of the indirect relationship between three contextual factors (business strategy, information technology and organisation size) and organisational performance via multiple performance measures. The results are derived from cross-sectional questionnaire survey data from 132 Libyan companies (response rate of 61%). For data analysis, the research uses mediation regression analysis via Preacher and Hayes' (2004) macro.

There is a significant indirect effect of business strategy and information technology, but not organisation size, on organisational performance. The measurement diversity approach plays a core mediating role in the relationship between the contingencies and organisational performance.

The study helps to provide a better understanding of the usefulness of the fit/match between contingencies and Multiple Performance Measures in improving organisational performance.

The empirical evidence supports the central proposition of contingency theory that there is no universally appropriate performance measurement system which applies equally to all organisations in all circumstances. It also provides evidence relating to non–manufacturing and an emerging market context. This research significantly extends the relevant literature by highlighting the relationship between information technology, multiple performance measures and organisational performance. This study is the first to use Preacher and Hayes' (2004) macro to analyse mediation design in the field of contingency-based performance measurement.

This study is founded on contingency theory, which is derived from organization theory, and in it we examine the structural problems of the modern Japanese recycling business using J. D. Thompson's model of contingency theory. Based on the results of our interviews conducted with 16 companies through the nondirective method, we argue that there are multiple contingency factors in the modern Japanese recycling venture and that these factors increase uncertainty and reduce the stability of the business as a result. We conclude that as an active level of 'sub technology,' recycling businesses created as diversifications of major companies will eventually manage the multiplicity of contingency factors.