Nicole Henley and Annika Y. Anderson
Objectives – Given the multitude of barriers faced by incarcerated and formerly incarcerated individuals, we contribute to prior literature through our exploration of the…
Abstract
Objectives – Given the multitude of barriers faced by incarcerated and formerly incarcerated individuals, we contribute to prior literature through our exploration of the relationship between Social Determinants of Health (SDOH) and Adverse Childhood Experiences (ACE) scores among a sample of incarcerated individuals (women) in San Bernardino County.
Methods – We performed a secondary data analysis on the original, self-reported data collected in 2011 from 336 female participants serving sentences in the San Bernardino County Jail System. Multivariate linear regression analysis was performed to examine the association between ACE scores and select covariates.
Result – Higher ACE scores were associated with participants characterized as younger, low income, and unemployed and were significant among incarcerated women whose biological father has been in trouble with the law and those with an incarcerated household member. Additionally, participants with higher ACE scores were raised in more unstable neighborhoods.
Conclusions – The study demonstrates strong evidence that ACE scores are interrelated with individual-level characteristics, family stability, and SDOH, and impact the health outcomes and life experiences of vulnerable populations.
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This review integrates and builds linkages among existing theoretical and empirical literature from across disciplines to further broaden our understanding of the relationship…
Abstract
This review integrates and builds linkages among existing theoretical and empirical literature from across disciplines to further broaden our understanding of the relationship between inequality, imprisonment, and health for black men. The review examines the health impact of prisons through an ecological theoretical perspective to understand how factors at multiple levels of the social ecology interact with prisons to potentially contribute to deleterious health effects and the exacerbation of race/ethnic health disparities.
This review finds that there are documented health disparities between inmates and non-inmates, but the casual mechanisms explaining this relationship are not well-understood. Prisons may interact with other societal systems – such as the family (microsystem), education, and healthcare systems (meso/exosystems), and systems of racial oppression (macrosystem) – to influence individual and population health.
The review also finds that research needs to move the discussion of the race effects in health and crime/justice disparities beyond the mere documentation of such differences toward a better understanding of their causes and effects at the level of individuals, communities, and other social ecologies.
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Subodh Kulkarni, Matteo Cristofaro and Nagarajan Ramamoorthy
How can managers reduce information asymmetry in dyadic manager-external stakeholder relationships in a complex and evolving environment? Addressing this question has significant…
Abstract
Purpose
How can managers reduce information asymmetry in dyadic manager-external stakeholder relationships in a complex and evolving environment? Addressing this question has significant implications for firm survival, growth, and competitive advantage.
Design/methodology/approach
We have adopted a multiparadigm approach to theory building, known as metatriangulation. We integrate the dynamic capabilities, sensemaking, and evolutionary theory literatures to theorize how managers can relate to stakeholders in a complex and evolving environment.
Findings
We propose, via a conceptual framework and three propositions, “evolutionary sensemaking” as the managerial metacognitive dynamic capability that helps managers hone their understanding based on the evolutionary changes in the stakeholder’s interpretations of information quality preferences. The framework unfolds across three evolutionary stages: sensing preferences' variation of the stakeholder, seizing preferences, and transforming for complexity alignment and retention. The propositions focus on managing complexity in stakeholder information quality preference, employing cognitive capabilities to simplify, interpret, and align interpretations for effective information asymmetry reduction.
Practical implications
To develop the metacognitive dynamic capability of evolutionary sensemaking, managers need to train for and foster the underlying complex cognitive capabilities by enhancing their (1) perception and attention skills, (2) problem-solving and reasoning skills, and (3) language, communication, and social cognition skills, focusing specifically on reducing the complexity embedded in stakeholder cognition and diverse stakeholder preferences for information quality. Contrary to the current advice to “keep things simple” and provide “more” information to the stakeholders for opportunism reduction, trust-building, and superior governance, our framework suggests that managers hone their cognitive capabilities by learning to deal with the underlying complexity.
Originality/value
The proposed framework and propositions address research gaps in reducing information asymmetry. It enriches the dynamic capabilities literature by recognizing complexity (as opposed to opportunism) as an alternative source of information asymmetry, which needs to be addressed in this stream of research. It extends the sensemaking literature by identifying the complexity sources – i.e. stakeholder preferences for diverse information quality attributes and the associated cognitive preference interpretation processes. The article enhances evolutionary theory by delving into microprocesses related to information asymmetry reduction, which the existing literature does not thoroughly investigate.
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Prabhugouda Mallanagouda Patil, Geeta Hadimani, Shashikant A., P.S. Kulkarni and Mukesh Kumar
This paper aims to provide a detailed study on the influence of slip flow and thermal jump over mixed convection flow along an exponentially stretching surface. Also, impacts of…
Abstract
Purpose
This paper aims to provide a detailed study on the influence of slip flow and thermal jump over mixed convection flow along an exponentially stretching surface. Also, impacts of suction/blowing, volumetric heat source/sink and velocity ratio parameter will be studied in this analysis.
Design/methodology/approach
The modeled governing equations for the assumed problem are dimensional nonlinear partial differential equations in nature. To reduce these equations, non-similar transformations are used to get the dimensionless nonlinear partial differential equations. Then, quasi-linearization technique is used to linearize these non-dimensional nonlinear partial differential equations. Finally, an implicit finite difference scheme is used to discretize the resulting equations.
Findings
The physical explanations are provided for the variations of various non-dimensional governing parameters over the velocity and temperature profiles. Also, the effects of these dimensionless parameters on skin friction coefficient and heat transfer rate are scrutinized in a manner which highlights their physical interpretation. The detailed discussion exhibits the fact that the streamwise co-ordinate velocity ratio parameter, partial slip parameter and the thermal jump parameter have significant influence over the flow and thermal fields.
Originality/value
This work has not been reported in the literature to the authors’ best of knowledge.
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Sudipta Ghosh, Madhab Chandra Mandal and Amitava Ray
Supplier selection (SS) is one of the prime competencies in a sourcing decision. Taking into account the key role played by suppliers in facilitating the implementation of green…
Abstract
Purpose
Supplier selection (SS) is one of the prime competencies in a sourcing decision. Taking into account the key role played by suppliers in facilitating the implementation of green supply chain management (GSCM), it is somewhat surprising that very little research attention has been imparted to the development of a strategic sourcing model for GSCM. This research aims to develop a strategic sourcing framework in which supplier organizations are prioritized and ranked based on their GSCM performance. Accordingly, the benchmark organization is identified and its strategy is explored for GSCM performance improvement.
Design/methodology/approach
The research develops an innovative GSCM performance evaluation framework using six parameters, namely, investment in corporate social responsibility, investment in research and development, utilization of renewable energy, total energy consumption, total carbon-di-oxide emissions and total waste generation. An integrated multicriteria decision-making (MCDM) approach is proposed in which the entropy method calculates criteria weights. The Complex Proportional Assessment (COPRAS) and the Grey relational analysis (GRA) methods are used to rank supplier organizations based on their performance scores. A real-world case of green supplier selection (GSS) is considered in which five leading India-based automobile manufacturing organizations (Supplier 1, Supplier 2, Supplier 3, Supplier 4 and Supplier 5) are selected. Surveys with industry experts at the strategic, tactical, and operational levels are carried out to collect relevant data.
Findings
The results reveal that total carbon dioxide emission is the most influential parameter, as it gains the highest weight. On the contrary, investment in research and development, and total waste generation have no significant impact on GSCM performance. Results show that Supplier 5 secures the top rank. Hence, it is the benchmark organization.
Research limitations/implications
The proposed methodology offers an easy and comprehensive approach to sourcing decisions in the field of GSCM. The entropy weight-based COPRAS and GRA methods offer an error-free channel of decision-making and can be proficiently used to outrank various industrial sectors based on their GSCM performances. This research is specific to the automobile manufacturing supply chain. Therefore, research outcomes may vary across supply chains with distinct characteristics.
Practical implications
The basic propositions of this research are based on a real-world case. Hence, the research findings are practically feasible. The less significant parameters identified in this study would enable managers to impart more attention to vulnerable areas for improvement. This research may help policymakers identify the influential parameters for effective GSCM implementation. As this research considers all aspects of sustainability, the strategies of the benchmark supplier have a direct impact on organizations' overall sustainability. The study would enable practitioners to make various strategies for GSCM performance improvement and to develop a cleaner production system.
Originality/value
The originality of this research lies in the consideration of both economic, social, environmental and operational aspects of sustainability for assessing the GSCM performance of supplier organizations. Quantitative criteria are considered so that vagueness can be removed from the decision. The use of an integrated grey-based approach for developing a strategic sourcing model is another unique feature of this study.
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Hui Xu, Harry A. Taute, Paul Dishman and Jing Guo
The relationship between internationalization efforts of businesses and resulting performance has long been debated in the international marketing literature. Specially, under the…
Abstract
Purpose
The relationship between internationalization efforts of businesses and resulting performance has long been debated in the international marketing literature. Specially, under the environmental uncertainty, perception and experience of managers are important for internationalization performance.
Methodology/approach
This study proposes an integrated research framework and mechanism between perceived international risk and international marketing performance, adopting international experience as moderator variable and entry mode as mediating variable. Survey was conducted on 1,612 managers of 420 Chinese international enterprises by email and received 463 valid questionnaires.
Findings
The results show that there is a significant negative relationship between perceived international risk and international performance. Direct influence and perceived international risk have an indirect influence on international performance through entry mode; the influence on the international performance from perceived international risk is moderated by international experience, the regression coefficient between perceived international risk and international performance is the quadratic function of international experience.
Originality/value
Different from previous literature, this study found the complex relationship between risk and performance.
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Raad Abdulkareem Shareef and Tarik Atan
The purpose of this paper is to examine the effect of ethical leadership on followers’ organizational citizenship behavior (OCB) and turnover intention and to examine the…
Abstract
Purpose
The purpose of this paper is to examine the effect of ethical leadership on followers’ organizational citizenship behavior (OCB) and turnover intention and to examine the mediating role of intrinsic motivation in the relationships.
Design/methodology/approach
The study employed a quantitative research method with a sample of 351 supervisor–subordinate dyads in three large public universities in the Kurdistan Region of Iraq. The statistical analysis was conducted using Statistical Package for Social Science software, through multiple regression analyses to test the research hypotheses.
Findings
The results indicated that ethical leadership positively related to OCB and negatively related to turnover intentions. The results also showed that intrinsic motivation fully mediates the relationship between ethical leadership, OCB, and turnover intentions.
Originality/value
This study recognized the gap in the literature, and it contributes to the body of knowledge through an examination of the mediating role of intrinsic motivation between ethical leadership, OCB and turnover intention, relying on the cognitive evaluation theory.
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Kalyan Sagar Kadali, Moorthy Veeraswamy, Marimuthu Ponnusamy and Viswanatha Rao Jawalkar
The purpose of this paper is to focus on the cost-effective and environmentally sustainable operation of thermal power systems to allocate optimum active power generation…
Abstract
Purpose
The purpose of this paper is to focus on the cost-effective and environmentally sustainable operation of thermal power systems to allocate optimum active power generation resultant for a feasible solution in diverse load patterns using the grey wolf optimization (GWO) algorithm.
Design/methodology/approach
The economic dispatch problem is formulated as a bi-objective optimization subjected to several operational and practical constraints. A normalized price penalty factor approach is used to convert these objectives into a single one. The GWO algorithm is adopted as an optimization tool in which the exploration and exploitation process in search space is carried through encircling, hunting and attacking.
Findings
A linear interpolated price penalty model is developed based on simple analytical geometry equations that perfectly blend two non-commensurable objectives. The desired GWO algorithm reports a new optimum thermal generation schedule for a feasible solution for different operational strategies. These are better than the earlier reports regarding solution quality.
Practical implications
The proposed method seems to be a promising optimization tool for the utilities, thereby modifying their operating strategies to generate electricity at minimum energy cost and pollution levels. Thus, a strategic balance is derived among economic development, energy cost and environmental sustainability.
Originality/value
A single optimization tool is used in both quadratic and non-convex cost characteristics thermal modal. The GWO algorithm has discovered the best, cost-effective and environmentally sustainable generation dispatch.
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Brijesh Upadhaya, Paavo Rasilo, Lauri Perkkiö, Paul Handgruber, Anouar Belahcen and Antero Arkkio
Improperly fitted parameters for the Jiles–Atherton (JA) hysteresis model can lead to non-physical hysteresis loops when ferromagnetic materials are simulated. This can be…
Abstract
Purpose
Improperly fitted parameters for the Jiles–Atherton (JA) hysteresis model can lead to non-physical hysteresis loops when ferromagnetic materials are simulated. This can be remedied by including a proper physical constraint in the parameter-fitting optimization algorithm. This paper aims to implement the constraint in the meta-heuristic simulated annealing (SA) optimization and Nelder–Mead simplex (NMS) algorithms to find JA model parameters that yield a physical hysteresis loop. The quasi-static B(H)-characteristics of a non-oriented (NO) silicon steel sheet are simulated, using existing measurements from a single sheet tester. Hysteresis loops received from the JA model under modified logistic function and piecewise cubic spline fitted to the average M(H) curve are compared against the measured minor and major hysteresis loops.
Design/methodology/approach
A physical constraint takes into account the anhysteretic susceptibility at the origin. This helps in the optimization decision-making, whether to accept or reject randomly generated parameters at a given iteration step. A combination of global and local heuristic optimization methods is used to determine the parameters of the JA hysteresis model. First, the SA method is applied and after that the NMS method is used in the process.
Findings
The implementation of a physical constraint improves the robustness of the parameter fitting and leads to more physical hysteresis loops. Modeling the anhysteretic magnetization by a spline fitted to the average of a measured major hysteresis loop provides a significantly better fit with the data than using analytical functions for the purpose. The results show that a modified logistic function can be considered a suitable anhysteretic (analytical) function for the NO silicon steel used in this paper. At high magnitude excitations, the average M(H) curve yields the proper fitting with the measured hysteresis loop. However, the parameters valid for the major hysteresis loop do not produce proper fitting for minor hysteresis loops.
Originality/value
The physical constraint is added in the SA and NMS optimization algorithms. The optimization algorithms are taken from the GNU Scientific Library, which is available from the GNU project. The methods described in this paper can be applied to estimate the physical parameters of the JA hysteresis model, particularly for the unidirectional alternating B(H) characteristics of NO silicon steel.