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The article is a response to a critique of the author's paper on conceptual engineering (CE)which appeared in the October 2021 issue of Academy of Management Review. The original paper, "Optimizing concepts: Conceptual engineering in the field of management" by P.T. Makowski, outlined a new perspective for theory building by showing how methods of conceptual engineering enable systematic development of conceptual competences. The critique by Oswick, et al. argues that CE is difficult to implement as a tool to optimize concepts especially in precision engineering and CE cannot be a normative enterprise. In this rebuttal, Makowski addresses these two points.

With the rise of Internet of Things (IoT) technology, the seamless connection between the physical and digital worlds has been realized. This review paper aims to conduct a science mapping review of IoT applications in industrial management and to identify mainstream research topics, research gaps, and future research directions. Using VOSviewer as a visualization tool, 142 articles retrieved from the Scopus database were quantitatively discussed using scientometric analysis. Additionally, a follow-up qualitative discussion was focused on mainstream research topics, existing research gaps, and future research directions as the main research goals. The results revealed influential findings for the co-occurrence of keywords, journals, countries, authors, and documents analyses. Moreover, it was found that the existing research mainly focused on four main research topics including (1) application of IoT in manufacturing based on cyber-physical systems, (2) IoT-related technologies on logistics and supply chain management, (3) The impact of IoT on business models, and (4) Industrial IoT (IIoT) in the context of Industry 4.0. On this basis, the existing research gaps and future research directions are proposed. This review paper would help relevant practitioners and researchers to better understand the existing body of knowledge and lay the foundation for further research. [ABSTRACT FROM AUTHOR]

This article discusses Makowski’s concept of conceptual engineering (CE) in the field of management with an emphasis on qualification and reframing of CE. Topics include the question of precision in management, conceptual blending, and the author’s conclusions on where and how CE can work in management.

Management and organization studies have long been interested in the social contexts and enduring consequences of individual and collective action. Yet, empirically observing both the situated nature of actions and their ultimate consequences remains challenging. In this paper, we describe microhistory as a complementary approach to grounded and longitudinal studies that reconciles situated action in time with its broader consequences over time. Microhistorical research involves the reflexive use of dual temporal frames: a microtemporal frame suited to an empirically grounded study of individuals in time and a macrotemporal frame accounting for processes of continuity and change in social structures over time. We describe the epistemology, method, and form inherent in theorizing with microhistory and consider its potential for management researchers. Microhistory's approach, we recognize, is well-suited to several phenomena that remain elusive to contemporaneous and longitudinal studies, such as exceptional normal actions, unintended consequences, nonlinear and emergent processes, contingent processes, and unobserved or inconceivable processes. Finally, we consider how microhistory's reflexive temporality offers management scholars opportunities to situate ourselves and our own theorizing in time and to account for evolving consequences over time. [ABSTRACT FROM AUTHOR]

A contemporary business challenge for bundling theory is the distribution of digital content such as media, entertainment, software, and other information goods. Consumers can use a number of devices to interact with software, online services, music, video, news, and other forms of digital content. For instance, Netflix videos and Kindle ebooks, initially accessed only on television sets and computers, respectively, are now also consumed on smartphones and tablets. Print products are now distributed and consumed both in print and digitally. Firms offer product line designs that include prices for single device access as also bundle discounts for multi-device access, so that consumers can choose a device or even multiple devices. This paper provides guidelines regarding such multi-device product line design and pricing. A starting point is to note that there are many ways to practice bundling, from offering prices for single-device consumption as well as a bundle discount (mixed bundling), to forcing multi-device prices (pure bundling), and designs in between (partial bundling). Picking the best design, and associated prices, is a complex problem due to how single-device demand functions relate to multi-device demand. Recognizing that some dual-device purchases can occur even when there is no bundle discount, the paper develops intuition around the net gain or loss incurred from giving a bundle discount to entice single-device access buyers to dual sales. One surprising finding is that inducing dual sales through bundle discounts can be profitable even when intent to consume multiple times is quite weak, because in this case dual sales would not occur organically. Less surprisingly, such inducement is also profitable when multi-consumption intent is strong, and least attractive when the intent is moderate. When one of the devices is an emerging one or has weak own demand in the short term, then it can be useful to offer a partial bundle, tying sales for the stronger device into a bundle comprising access to both devices. When device valuations are such that consumers generally agree on the rank-ordering of the devices (e.g., if a location-based app offers greater value on a smartphone than on a tablet), then it is best to employ some type of bundling, unless the intent for multi-device consumption is proportionally lower among low-value consumers than for high-value consumers. [ABSTRACT FROM AUTHOR]

Educational and training programs designed to reduce racial bias often focus on increasing people's awareness of psychological sources of their biases. However, when people learn about their biases, they often respond defensively, which can undermine the effectiveness of antibias interventions and the success of prejudice regulation. Using process (Quad) modeling, we provide one of the first investigations of the relationships between (a) controlled and automatic cognitive processes that underpin performance on the Implicit Association Test and (b) defensive reactions to unflattering implicit racial bias feedback. In two correlational samples (one preregistered; N = 8,000) and one experiment in which the provision of bias feedback was manipulated (N = 547), we find racially biased associations and some control over these associations among White people. Nonetheless, more defensiveness to bias feedback consistently predicted weaker ability to control biased associations. We also find correlational evidence that lower levels of biased associations predict more defensiveness, but did not replicate this observation in the experimental study. These results are critical for theories of implicit attitudes, models of prejudice regulation, and strategies for antibias interventions. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

The objective of this study is to explore the most effective ways to apply Management Science strategically within Micro, Small, and Medium Enterprises (MSMEs/UMKM) located in the Bintaro area of South Tangerang City, West Java, Indonesia. Through a combination of mathematical analysis and technology utilization in a case study framework, the research evaluates the management science strategies employed by MSMEs in Bintaro and their effects on business performance and sustainability. The outcomes of this investigation are anticipated to offer valuable perspectives for stakeholders, business professionals, and scholars aiming to enhance MSME management techniques for better outcomes.

The relative scarcity of policy-relevant research is the inevitable result of editorial policies pursued by most if not all of the highest status management and organization science journals. Ironically, there are a plethora of policy-oriented journals available as publication outlets, so it is possible to both publish and read policy-relevant scholarship, just not in the usual places. These facts pose a challenge to traditional journals, including those published by the Academy of Management. [ABSTRACT FROM AUTHOR]

Indirect ecological effects—in which interactions of two species are modified by another species or abiotic factor—are generally considered equal to or greater in magnitude than direct effects. The ecological literature describing indirect effects suffers from redundancy and confusion regarding terminology and quantification, limiting its utility to regulators working to estimate indirect relative to direct effects in assessing environmental risks of development. To evaluate consideration for indirect ecological effects in regulatory practice, we reviewed 24 National Environmental Policy Act (NEPA) documents for proposed US mining projects to compare the treatment of indirect effects in the regulatory versus ecological literature. A clear dichotomy between regulatory and academic definitions of indirect effects suggests that NEPA documents overlook scientifically defined ecological impacts of development. Consequently, for scientific inquiry to be useful to regulators and for regulation of development to comprehensively assess risks, multidisciplinary efforts are urgently needed to bridge the gap between ecological science and environmental management. [ABSTRACT FROM AUTHOR]

Recently, Annadurai published an important paper in International journal of Management Science and Engineering Management for the optimal replenishment policy for inventory models of decaying items with shortages and salvage value. However, his solution procedure contained some questionable results. The purpose of this note is fourfold. First, we recap the inventory model proposed by Annadurai. Second, we provide our improvement. Third, we point out questionable results of Annadurai and then offer our revisions. Furth, we consider two boundary minimums that will be an improvement for the no shortage case and no stock case, respectively. [ABSTRACT FROM AUTHOR]

This teaching case describes the organizational change process of the Federal University of Rio de Janeiro Science Park (PTEC-UFRJ), an organization that plays a leading role in the innovation ecosystem of both the university and its surrounding state. The change process began in 2019, rooted on the leadership's view that the Park's economic sustainability depends on strategic redirection and transformation of employees' attitudes and behavior, along with the redesign of PTECUFRJ's internal processes. However, PTEC-UFRJ has the peculiarity of having its leadership appointed by the University Dean's Office. In this context, management initiatives directed to supporting the change process are fundamental to secure its achievements and ensure its continuity. The case describes the decisions and actions took by PTECUFRJ's executive director in order to guide the strategic change in the Park and the challenges faced. In view of the results and objectives already achieved, the most important point is to discuss PTEC-UFRJ's future perspectives, the role of leadership and organizational policies, and practices that guarantee the sustainability of the organizational change. [ABSTRACT FROM AUTHOR]

Experiential learning can connect undergraduate students with research projects where they create and analyze data. Research Data Management (RDM) competencies are needed to ensure that research data are effectively organized, described, stored, and curated for future use. In recent years, undergraduates have been taught RDM in credit classes and workshops, but opportunities to learn RDM competencies are not widespread in undergraduate education. This study describes a one-credit asynchronous express RDM course that was developed and taught by an academic librarian as a 100-level undergraduate class between 2021 and 2023. Students applied RDM theory and best practices to marine science case study-based assignments to experience organizing and describing research data firsthand. The course culminated with students writing proposals to implement RDM practices at a research institution. Evaluation of the course is described from the librarian-instructor perspective and using enrollment, grade, and student course evaluation data. Teaching asynchronously at an express pace presented challenges in keeping some students engaged and progressing throughout the seven-week course, requiring proactive outreach and instructor attentiveness. While the asynchronous mode adds flexibility to student schedules, a reduced scope or slower pace is recommended for providing undergraduates a meaningful experiential introduction to data management. [ABSTRACT FROM AUTHOR]

Recent spikes in interactions between humans and sharks in the New York Bight have sparked widespread reporting of possible causalities, many of which lack empirical support. Here we comment on the current state of knowledge regarding shark biology and management in New York waters emphasizing that the possible drivers of increased human–shark interactions are confounded by a lack of historical monitoring data. We outline several key research avenues that should be considered to ensure the safe and sustainable coexistence of humans, sharks, and their prey, in an era of accelerated environmental change. [ABSTRACT FROM AUTHOR]

While most previous research focused only on the textual content of documents, advanced support for document management in digital libraries, for open science, requires handling all aspects of a document: from structure, to content, to context. These different but inter-related aspects cannot be handled separately and were traditionally ignored in digital libraries. We propose a graph-based unifying representation and handling model based on the definition of an ontology that integrates all the different perspectives and drives the document description in order to boost the effectiveness of document management. We also show how even simple algorithms can profitably use our proposed approach to return relevant and personalized outcomes in different document management tasks. [ABSTRACT FROM AUTHOR]

Similar to many freshwater ecosystems, the Laurentian Great Lakes of North America have undergone numerous anthropogenic stressors resulting in considerable loss of biodiversity and habitat. Among Great Lakes fishes, the coregonine sub-family has endured the most extensive declines, including extinction of several species (Coregonus johannae, C. alpenae, and C. kiyi orientalis) and at least 10 instances of local extirpations of other species (C. nigripinnis, C. reighardi, C. zenithicus, C. hoyi, and C. artedi) across all 5 lakes, much of which occurred prior to the 1960s owing to overfishing, interactions with non-indigenous species, and habitat loss. Despite these declines, no federal-, provincial-, or state-mandated actions were ever implemented to conserve coregonine diversity, potentially because so much of the coregonine declines occurred prior to the enactment of federal conservation legislation. Possible explanations for inaction since enactment of that legislation include insufficient data on biological vulnerability or threats, unresolved taxonomy, and limited support from the fishery management agencies and their stakeholders prior to the 2000s. In recent decades, however, several fishery management agencies have undertaken efforts to re-introduce coregonine diversity. These efforts helped lead to development of a science-based framework to restore coregonines that was universally endorsed by fishery managers representing eight U.S. states, four U.S. tribal organizations, and the province of ON, Canada, in May 2018. The basin-wide framework is based on principles of conservation biology and adaptive management. We describe details of its key steps, including planning, restoring, and evaluating, while also describing recent implementation efforts to develop methods, improve available resources, and enhance coordination across the basin. Although our paper describes a regional effort to restore native coregonines, our adaptive-management approach could be used by other multi-agency stakeholders seeking to conserve or restore native fishes. [ABSTRACT FROM AUTHOR]

This research aims to reveal the main trends, gaps and paradigm shifts in crisis management. Data from research dealing with crisis/crisis management in the social sciences literature were examined in this context. The Web of Science database was used to collect research data. The data were analyzed using bibliometric analysis, a quantitative research method. The findings show that crisis management, crisis planning, crisis actions, strategic management and crisis management in public relations were the most intensively studied topics until 2018. But after 2018, research, tourism, Covid‐19 pandemic have shown a trend towards social media. In general, there is an increase in empirical research on crisis management. In this body of research, the United States of America has the greatest weight numerically, however, European countries are better positioned in terms of interest levels and international cooperation. All in all, this research provides a good conceptual framework for future crisis management research. [ABSTRACT FROM AUTHOR]

The editors of Management Science acknowledge all our 2023 reviewers and guest associate editors who generously provided expert counsel and guidance on a voluntary basis. We are grateful for their contributions; without them, the journal could not function. Here, we list those reviewers who contributed four or more reviews in 2023. Supplemental Material: The complete list of our 2023 reviewers is available at https://doi.org/10.1287/mnsc.2024.acknowledgements.v70.n4. [ABSTRACT FROM AUTHOR]

Advancements in phenotyping technology have enabled plant science researchers to gather large volumes of information from their experiments, especially those that evaluate multiple genotypes. To fully leverage these complex and often heterogeneous data sets (i.e. those that differ in format and structure), scientists must invest considerable time in data processing, and data management has emerged as a considerable barrier for downstream application. Here, we propose a pipeline to enhance data collection, processing, and management from plant science studies comprising of two newly developed open-source programs. The first, called AgTC, is a series of programming functions that generates comma-separated values file templates to collect data in a standard format using either a lab-based computer or a mobile device. The second series of functions, AgETL, executes steps for an Extract-Transform-Load (ETL) data integration process where data are extracted from heterogeneously formatted files, transformed to meet standard criteria, and loaded into a database. There, data are stored and can be accessed for data analysis-related processes, including dynamic data visualization through webbased tools. Both AgTC and AgETL are flexible for application across plant science experiments without programming knowledge on the part of the domain scientist, and their functions are executed on Jupyter Notebook, a browser-based interactive development environment. Additionally, all parameters are easily customized from central configuration files written in the human-readable YAML format. Using three experiments from research laboratories in university and non-government organization (NGO) settings as test cases, we demonstrate the utility of AgTC and AgETL to streamline critical steps from data collection to analysis in the plant sciences. [ABSTRACT FROM AUTHOR]

This paper aims to identify the key criteria for distinguishing sub-disciplines in management sciences and evaluate their application in national and international science classifications. Documents from 16 different countries and areas were studied semantically. Triangulation was used to study 16 sub-discipline classifications and survey expert opinions among 31 representatives of management sciences from Poland and China to achieve the paper's purpose. Based on the results, the classifications use various criteria for categorising sub-disciplines, with the key criteria being (1) resources, (2) activity areas, (3) management concepts and methods, and (4) types of organisations. Meanwhile, the extent of their use is well in line with the expectations of the management sciences community representatives participating in the survey. The paper proposes a theoretical framework of 13 distinguishing criteria and characterises 16 classifications of sub-disciplines in management science from different countries. The theoretical considerations provide a good insight into the logic of creating a classification of sub-disciplines. They also provide a better description and understanding of the role of research specialisations in building the identity, organisation, and development of the management sciences community. The results align with a discussion on improving the classifications of management sciences' sub-disciplines. They are essential in identifying future and promising research specialisations within management sciences. They are helpful in the process of reviewing and/or placing particular research issues or problems in specific sub-disciplines of management sciences. [ABSTRACT FROM AUTHOR]

During a lively debate between Haroon Bhorat and Michael Sachs at the University of Pretoria recently, Bhorat pleaded for supply‐side measures to alleviate poverty in South Africa, rather than demand‐side measures. (The debate took place during a session at the Faculty of Economic and Management Sciences' Inaugural Research Day on 8 September, 2023).Bhorat claimed that the SRD grants could not secure a solution to unemployment in a sustainable manner. In this paper, we use the UPGEM Computable General Equilibrium (CGE) model of the University of Pretoria to test the performance of wage subsidies in South Africa, in comparison to the Social Relief of Distress (SRD) grants of the same expenditure magnitude, and report on the differences between the two policy measures in terms of (i) unemployment alleviation, (ii) poverty alleviation and (iii) economic impact in general. [ABSTRACT FROM AUTHOR]

Keywords: Conventional organizational identification; Narcissistic organizational identification; Leader identification; Follower performance; Organizational deviance Abstract While the literature suggests that leader organizational identification transfers to follower organizational identification and is ultimately reflected in the form of favorable follower outcomes, we theorize that how leaders identify with their organization can make a difference in whether followers identify more with their organization or with the leader, which is then accordingly reflected in follower responses. Drawing on social identity theory, we demonstrate that conventional leader organizational identification evokes follower organizational identification more than follower leader identification. Furthermore, conventional leader organizational identification has an indirect effect on follower performance through follower organizational identification. Additionally, the relationships between narcissistic leader organizational identification and followers' performance and organizational deviance are not mediated through follower leader identification or follower organizational identification. For this study, data were collected from CEOs and their followers working in small and medium-sized enterprises (SMEs) in Pakistan (leader--follower dyads). The contribution to the leadership literature along with the limitations of the current study and directions for future research are discussed. Author Affiliation: (1) Bahria Business School, Bahria University, Islamabad, Pakistan (2) Goodman School of Business, Brock University, St Catharines, Canada (3) Department of Management Sciences, National University of Modern Languages, Islamabad, Pakistan (c) ramshazakariya@yahoo.com Article History: Registration Date: 11/14/2022 Accepted Date: 11/13/2022 Online Date: 11/21/2022 Byline:

Healthcare decision-making has often been viewed as a complex multi-dimensional problem due to medical, technological, social, ethical, economic, and environmental factors along with multiple and conflicting objectives and the participation of different stakeholders. Several multi-criteria decision-making (MCDM) techniques have been successfully deployed to resolve this issue, providing transparent, consistent, accurate, and timely solutions. This paper reviews 140 journal articles published during 2013-2022 (available in the Scopus database) on MCDM applications in healthcare decision-making. Those articles are subsequently categorized into 11 application areas, i.e., (a) supply chain management, (b) medical device and material selection, (c) disease identification and treatment, (d) healthcare information system, (e) logistics, (f) operations management in healthcare, (g) healthcare quality evaluation, (h) risk management, (i) waste management, (J) COVID-19, and (k) miscellaneous. Their contents are also critically analysed​ concerning year-wise, journal-wise, institution-wise, and country-wise publications, authors’ nationality, MCDM techniques employed, other mathematical tools considered for criteria weight measurement and uncertainty modelling, and relation with other keywords. The analysis identifies Waste Management as the most explored area; Computers and Industrial Engineering, Journal of Cleaner Production, and Sustainability as the most popular journals; Shiraz University of Medical Sciences, Iran, as the most contributing university; and India as the most productive country in respect of several authors and co-authors; and analytic hierarchy process as the most popular MCDM tool. It would help healthcare professionals understand how other researchers have efficiently explored the benefits of various MCDM tools in solving healthcare-related decision-making problems.

During the Annual Operational Research Society Simulation Workshop in Worchester, UK, in 2010, a panel discussion entitled "discrete‐event simulation (DES) is dead, long live agent‐based simulation (ABS)!" was held. Subsequent debates on the topic have captured the interest of many simulation professionals and researchers. This study lends credence to the discourse with evidence. In January 2020, a global health crisis named coronavirus disease (COVID‐19) occurred, infecting and killing millions of people globally, leading to community lockdowns and travel restrictions, and bringing the world to a standstill. Scientists scrambled for quick, practical solutions to stem the tide. Operational research (OR) and management science (MS) techniques, including modeling and simulation, provide effective methods to make COVID‐19 infection forecasts, assign/optimize intensive care unit beds, initiate healthcare management/control strategies, and decision‐making. The global pandemic problems offer an opportunity to evaluate the discourse on DES's continuous relevance and potency as an OR/MS technique. Utilizing bibliometric performance evaluation and text analytics of publications addressing various COVID‐19 pandemic problems, the results show an extensive use, relevance, and impact of the DES technique across multidisciplinary domains, including medical/healthcare, social and behavioral sciences, business, molecular biosciences, and more. The intellectual structure highlights strong multidisciplinary collaboration among sources in decision sciences, healthcare, natural, behavioral, and social sciences. The social network analysis of the publications shows the contributions and collaborations among authors, institutions, and countries. The study demonstrates that DES is still alive and robust, notwithstanding the hype about ABS. [ABSTRACT FROM AUTHOR]

The effective planning and control of healthcare systems are receiving growing research interest owing to their complexities and the importance of healthcare to society. Techniques in operations research and management science (ORMS) have successfully addressed the challenges associated with healthcare service delivery. Serious gaming and classroom games have proven to be an effective tool for teaching ORMS concepts to be applied to healthcare, since they illustrate complex ideas and theories practically in a realistic setting. This research is a systemised literature review of serious gaming in the ORMS domains. It aims to assess which ORMS games could be adapted to teach ORMS concepts applied to healthcare. The research also assesses whether these games align with experiential learning pedagogy. The research is useful to both academics and practitioners who aim to improve healthcare systems while simultaneously conveying ORMS concepts to a wide audience by means of serious gaming. [ABSTRACT FROM AUTHOR]

Human activities and climate change threaten coldwater organisms in freshwater ecosystems by causing rivers and streams to warm, increasing the intensity and frequency of warm temperature events, and reducing thermal heterogeneity. Cold‐water refuges are discrete patches of relatively cool water that are used by coldwater organisms for thermal relief and short‐term survival. Globally, cohesive management approaches are needed that consider interlinked physical, biological, and social factors of cold‐water refuges. We review current understanding of cold‐water refuges, identify gaps between science and management, and evaluate policies aimed at protecting thermally sensitive species. Existing policies include designating cold‐water habitats, restricting fishing during warm periods, and implementing threshold temperature standards or guidelines. However, these policies are rare and uncoordinated across spatial scales and often do not consider input from Indigenous peoples. We propose that cold‐water refuges be managed as distinct operational landscape units, which provide a social and ecological context that is relevant at the watershed scale. These operational landscape units provide the foundation for an integrated framework that links science and management by (1) mapping and characterizing cold‐water refuges to prioritize management and conservation actions, (2) leveraging existing and new policies, (3) improving coordination across jurisdictions, and (4) implementing adaptive management practices across scales. Our findings show that while there are many opportunities for scientific advancement, the current state of the sciences is sufficient to inform policy and management. Our proposed framework provides a path forward for managing and protecting cold‐water refuges using existing and new policies to protect coldwater organisms in the face of global change. [ABSTRACT FROM AUTHOR]

Considering Systems Thinking (ST) as a cognitive skill can create greater acceptability of and openness to the discipline from practitioners and researchers outside operations research and management science. Rather than associating ST with frameworks and methodologies, ST as a cognitive skill can help popularize and democratize the discipline. This paper highlights how the conceptual lens of Holistic Flexibility can help practitioners deploy ST as a cognitive skill without the application of any traditional systems methodology. Holistic Flexibility is defined as the dynamic interplay between a state of mind that has the ability to absorb systemic complexity and a state of practice that has the ability to embrace flexibility, both in intent and in form. Through two case-studies, discussions in this paper highlight how Holistic Flexibility can serve as a conceptual lens for systems practitioners. The case-studies demonstrate the importance of a practitioner's ability to seamlessly manage and work with multiple variables, stakeholders, and factors to deliver responsible outcomes with the aid of learning loops. The main contribution of this paper lies in the case-studies and analyses presented that provide use cases for Holistic Flexibility in ST, which will help address recent calls in the discipline for ST to be considered as a cognitive skill. [ABSTRACT FROM AUTHOR]

The agency theory deals with the interrelationship of a principal and an agent engaged in cooperative behavior. There are also organizational reflections of this relationship between individuals. The aforementioned economic interaction includes theoretical aspects discussed in the context of management science. This aspect of agency theory examines the problems that arise in principal-agent relations and aims to minimize the costs arising from the interaction-based relationship. Diogenes pioneered many forms of behavior that have equivalents within the scope of agency theory and put forward views explaining behavior. The views put forward by Diogenes reveal a wide scope when considered with today's theories. Therefore, in this article, Diogenes's philosophical views on life are discussed in terms of contract costs and limited rationality within the scope of agency theory. In this article, document analysis, which is a qualitative study, was used as a research design. In the article, various transfers, evaluations and interpretations on the Diogenic approach of the concepts of contract costs and bounded rationality, which have a prominent place in agency theory, are presented. As a result, Diogenes used the issues discussed today within the scope of agency theory by illuminating those around him centuries ago and exhibiting them within the framework of vital practices. [ABSTRACT FROM AUTHOR]

This special issue of the INFORMS Journal on Applied Analytics (formerly Interfaces) is devoted to the finalists of the 53rd annual competition for the Franz Edelman Award for Achievement in Advanced Analytics, Operations Research, and Management Science, the profession's most prestigious award for deployed work. As in previous years, the finalists this year cover a wide range of industries and functions. [ABSTRACT FROM AUTHOR]

Although a multimodal data analysis, comprising physiological and questionnaire survey data, provides better insights into addressing management science concerns, such as challenging the predictions of consumer choice behavior, studies in this field are scarce because of two obstacles: limited sample size and information privacy. This study addresses these challenges by synthesizing multimodal data using deep generative models. We obtained multimodal data by conducting an electroencephalography (EEG) experiment and a questionnaire survey on the prediction of skilled nurses. Subsequently, we validated the effectiveness of the synthesized data compared with real data regarding the similarities between these data and the predictive performance. We confirmed that the synthesized big data were almost equal to the real data using the trained models through sufficient epochs. Conclusively, we demonstrated that synthesizing data using deep generative models might overcome two significant concerns regarding multimodal data utilization, including physiological data. Our approach can contribute to the prevailing combined big data from different modalities, such as physiological and questionnaire survey data, when solving management issues. [ABSTRACT FROM AUTHOR]

Scholars have increasingly argued for the merits of advocacy-based research versus research considered from the pursuit of objective truth. In this essay, I seek to extend Tsang's Journal of Management Inquiry essay (2022) and suggest that political advocacy has replaced the pursuit of objective truth in management research. Through the use of example, I suggest that this focus on politically based advocacy will be detrimental to the continued professional development of the management discipline. [ABSTRACT FROM AUTHOR]

Purpose: Carry out a detailed analysis of existing processes classifications and propose a new one, the main focus of which will be on the unique requirements of the functioning of the penitentiary system, which is the totality of the institutions of penitentiary law and the applicable legislation. In addition, the article also aims to point out the differences between the classical view of identifying and defining processes carried out in typical organisations and those carried out in prisons. Design/methodology/approach: The objectives of the article were achieved through an in-depth analysis of the literature on the identification and classification of processes carried out in typical organisations and those carried out in prisons and a modification of Porter's classic value chain model. Furthermore, throughout his career, the author has been investigating the functioning of the penitentiary system in terms of executing logistical processes over the past few years. Findings: The author of the article compared the existing classifications of processes and suggested a new one more fitting to the functioning of the penitentiary system that defines the rules of the prisons that carry out the execution of imprisonment. Originality/value: The originality of the article lies in the modification of the classic Porter's value chain model, illustrating the organization's activities as a systematic sequence of actions aimed at delivering the final product to the end user in the form of the proper implementation of imprisonment in prisons. In the face of dynamically changing challenges posed by the contemporary penitentiary system, understanding and properly classifying the implemented processes become crucial for effective management and improvement of the quality of the implemented actions [ABSTRACT FROM AUTHOR]

Purpose: The aim of the analysis was to demonstrate the level of transport efficiency in Poland on the example of various modes of transport in selected years. Methodology: Analysis of data from the library of the Central Statistical Office. Findings: The evaluation results obtained from the analysis showed that changes in transport work were much more influenced by changes in transport distance than in cargo weight. Originality/value: The publication discussed the topic transport efficiency in Poland on the example of cargo transport in the years 1995-2022. Combining interdisciplinary research in the areas of management and quality sciences with economics and finance. [ABSTRACT FROM AUTHOR]

Purpose: Surveys are one of the most popular data acquisition tools used in economics and management sciences. The results of surveys provide a lot of information and allow for fast response to changes in the socio-economic environment. Unfortunately, in many cases there are missing data in surveys, which can be caused by various reasons. Design/methodology/approach: One of the most common reasons are the respondent’s reluctance to provide an answer or distraction while completing the questionnaire. This study presents a novel approach for filling gaps in the survey data. Findings: The main idea of the proposed method is to use the associations between the answers to given sets of questions for different respondents. Originality/value: The obtained association rules were used as input variables and a number of well-known machine learning tools were applied for filling data gaps. The results of numerical experiments confirmed a very high performance of the proposed novel method for filling data gaps in surveys. [ABSTRACT FROM AUTHOR]

Purpose: The primary purpose of this article is to identify the manifestations and causes of unethical pro-organisational behaviour related to the lowering of quality, as well as to propose measures that could prevent such behaviour. Design/methodology/approach: The main research method used was a literature review. The applied procedure was in line with the general methodology for conducting research in management sciences (Easterby-Smith et al., 2015). Exemplification was used as an ancillary research tool. Findings: Manifestations of unethical pro-organisational behaviour aimed at the lowering of quality include falsifying system documentation, hiding quality errors that occur in individual processes, deliberately impairing product quality by reducing the quantity of particular components or replacing them with lower-quality substitutes, providing customers with a completely different product under the organisation’s own name and reducing quality objectives. Paradoxically, the occurrence of such behaviour is fostered by excessive identification, affective commitment, organisational support resulting in a sense of indebtedness to the organisation, pressure for results and even satisfaction with one’s job. The possible measures that could prevent unethical pro-organisational behaviour include the following: applying the principle of positive discipline, entering into transparent psychological contracts, abandoning annual employee appraisals, employee rankings and bonus systems whose results depend on employee cooperation, as well as the variable part of managers’ remuneration. Research limitations/implications: A literature review is not a perfect way to obtain information. The article does not discuss all causes and manifestations of unethical proorganisational behaviour that may occur in organisations oriented towards quality. Practical implications: Based on the conclusions formulated on the basis of the conducted research, managers can significantly reduce the development of unethical behaviour (mainly by following the recommendations of E. Deming). Originality/value: While there is a large body of literature on the causes of unethical proorganisational behaviour, very little is known about their causes and manifestations in organisations focused on quality. [ABSTRACT FROM AUTHOR]

The natural sciences are receiving increasing attention in the Global South. This timely development may help mitigate global change and quicken an envisioned food system transformation. Yet in order to resolve complex issues such as agrochemical pollution, science ideally proceeds along suitable trajectories within appropriate institutional contexts. Here, we employ a systematic literature review to map the nature of inquiry and institutional context of pest management science in 65 low- and middle-income countries published from 2010 to 2020. Despite large inter-country variability, any given country generates an average of 5.9 publications per annum (range 0–45.9) and individual nations such as Brazil, Kenya, Benin, Vietnam, and Turkey engage extensively in regional cooperation. International development partners are prominent scientific actors in West Africa but are commonly outpaced by national institutions and foreign academia in other regions. Transnational institutions such as the CGIAR represent a 1.4-fold higher share of studies on host plant resistance but lag in public interest science disciplines such as biological control. Despite high levels of scientific abstraction, research conducted jointly with development partners shows real yet marginal improvements in incorporating the multiple (social–ecological) layers of the farming system. Added emphasis on integrative system-level approaches and agroecological or biodiversity-driven measures can extend the reach of science to unlock transformative change. [ABSTRACT FROM AUTHOR]

This paper investigates the relationship that people with high functioning autism have with organizational temporality by considering this operationalization within the framework of humanistic management. To do so, it proposes an analysis based on seven propositions. Autism is a disorder that is still poorly understood and often linked to social depictions that are as unfounded as they are repulsive. It remains an unexplored area of study in the field of management sciences. Existing scholarship has established that people with autism have great difficulty finding and retaining employment. While it is well known that they have weak social skills, their difficulties in relation to time have only been studied in medical research, even though organizational temporality substantially shapes the functioning of teams. The operationalization of autistic temporality as a particular temporality within humanistic management allows for the development of a new conceptual framework based on a consideration of neuro-atypia. This paper begins with a presentation of the theoretical background. It then develops the theoretical model. Implications, limitations and directions for further studies are discussed before concluding. [ABSTRACT FROM AUTHOR]

Using data from cardiovascular surgery patients with long and highly variable post-surgical lengths of stay (LOS), we develop a modeling framework to reduce recovery unit congestion. We estimate the LOS and its probability distribution using machine learning models, schedule procedures on a rolling basis using a variety of optimization models, and estimate performance with simulation. The machine learning models achieved only modest LOS prediction accuracy, despite access to a very rich set of patient characteristics. Compared to the current paper-based system used in the hospital, most optimization models failed to reduce congestion without increasing wait times for surgery. A conservative stochastic optimization with sufficient sampling to capture the long tail of the LOS distribution outperformed the current manual process and other stochastic and robust optimization approaches. These results highlight the perils of using oversimplified distributional models of LOS for scheduling procedures and the importance of using optimization methods well-suited to dealing with long-tailed behavior. [ABSTRACT FROM AUTHOR]

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