Empirical Study Research Articles

Societal and scientific impact of policy research: A large-scale empirical study of some explanatory factors using Altmetric and Overton

This study investigates how scientific research influences policymaking by analyzing citations of research articles in policy documents (policy impact) for nearly 125,000 articles across 434 public policy journals. We reveal distinct citation patterns between policymakers and other stakeholders like researchers, journalists, and the public. News and blog mentions, social media engagement, and open access publications (excluding fully open access) significantly increase the likelihood of a research article being cited in policy documents. Conversely, articles locked behind paywalls and those published under the full open access model (based on Altmetric data) have a lower chance of being policy-cited. Publication year and policy type show no significant influence. Our findings emphasize the crucial role of science communication channels like news media and social media in bridging the gap between research and policy. Interestingly, academic citations hold a weaker influence on policy citations compared to news mentions, suggesting a potential disconnect between how researchers reference research and how policymakers utilize it. This highlights the need for improved communication strategies to ensure research informs policy decisions more effectively. This study provides valuable insights for researchers, policymakers, and science communicators. Researchers can tailor their dissemination efforts to reach policymakers through media channels. Policymakers can leverage these findings to identify research with higher policy relevance. Science communicators can play a critical role in translating research for policymakers and fostering dialogue between the scientific and policymaking communities.

Self-Disclosure in Online Social Networks: An Empirical Study of Location-Based Check-Ins and Impression Management

Leveraging online networks like Twitter and Foursquare, our study explores the dynamics of self-disclosure and impression management through location sharing. Grounded in social and hyperpersonal information processing theories, we investigate how peer influence, geographical proximity, and exposure to promotional content impact self-disclosure behaviors. Through an integrated dataset, we determine that friends’ check-ins and their physical proximities significantly sway individual self-disclosure. Particularly, in the presence of health-conscious peers, users tend to avoid check-ins that create a negative health impression. Furthermore, exposure to health-related promotional content significantly influences these behaviors. Our findings provide crucial perspectives on impression management in the digital age.

MCDM-AHP and ELECTRE collaboration apps for the best vendor selection technique

Vendor selection techniques are very important to maintain supply chain services, optimal service creates strong consistency in maintaining the continuity of supply chain business processes. The aim of this research is to provide an objective and consistent understanding of the best techniques in vendor selection which are implemented openly through the collaboration of multi-criteria decision making-analytic hierarchy process (MCDM-AHP) and ELECTRE. Empirical studies show how this approach is able to provide optimal decision-making support for the vendor selection process. Eight criteria are required which have contradictory meanings in their apps. These criteria include quality of goods (QG), payment methods (PMs), payment terms (PTs), minimum transactions (MTs), discounts (DS), delivery times (DTs), inventory (IN), and service (SV). The comparison importance value of the criteria is used as a measure of weighting the criteria through two testing approaches, namely mathematical algebra matrices and expert choice apps, through accurately assessing the optimal eigenvector from the two test approaches. Decision making support was carried out by comparison using 342 preference matrices which were developed into concordance and discordance matrices, the elimination process with threshold matrices found that the ranking results of four vendors were ranked first as worthy of being a selection priority and fifteen other vendors were ranked below.

Therapist’s Positive Evaluation of Children with Hearing Impairment: A Conversation Analysis Perspective

In speech-language therapy, the evaluation of children with atypical speech embodies the practical expertise of the therapist and the therapeutic goal of facilitating rehabilitation by guiding these children toward more typical speech behaviors. This study aims to provide an interactional explanation of how positive evaluations given by speech therapists are sequentially formatted, constructed, and oriented in therapy practice and what interactional consequences they have on the interpretation and learning of children with hearing impairment. Adopting conversation analysis as a methodology, this empirical study delves into naturally occurring conversations between speech therapists and children with hearing impairment within the context of Chinese speech-language therapy, focusing specifically on instances of positive evaluations in the third-turn position. The analysis reveals a prevalent occurrence of positive evaluations during therapeutic interactions, showcasing a diverse range of formats employed, spanning from explicit to implicit expressions. A fine-grained conversation analysis demonstrates the delicate and intricate nature of therapists’ positive evaluations, in terms of their indexicality (the function of being referential), and sensitivity to local contingencies. Furthermore, these positive evaluations serve as a critical site for displaying the epistemic asymmetry and its negotiation in and through therapist-client interactions. By providing an empirical demonstration of the interactional skill involved in speech-language therapy and advocating for evaluations characterized by clear indexicality and recipient-orientedness, this study contributes to enhancing the efficiency and effectiveness of rehabilitation practices while shedding new light on the atypical interactions involving people with communicative impairments.

An Empirical Study of How Tribunals Interpret Stand-Alone FET Clauses regarding Their Relationship with the MST and How It Impacts Findings on Liability

This article provides the first empirical survey since the 2012 UNCTAD Report of how tribunals have addressed a specific type of Fair and Equitable Treatment (FET) clause: stand-alone clauses containing no reference to international law or any other standard. The vast majority of awards did not take a position on the issue of whether that standard offers the same or different level of protection compared to the Minimum Standard of Treatment (MST) under custom. Yet, those that did have overwhelmingly concluded that the clause must be interpreted to have an autonomous character, not related to the MST. These tribunals have also given broad interpretation of the scope and content of the clause which, in turn, had an impact on how they have addressed matters of liability and compensation. The success rate of FET claims is higher for tribunals which have expressly stated that a stand-alone FET clause has an ‘autonomous’ character compared to others which did not take a position on this question (two-thirds versus 50%). Notably, the overall success rate of FET claims under a stand-alone clause (50%) is much higher compared to that of awards examining FET clauses where the standard is expressly linked to the MST.

Tracing peace polysemy in Colombian business-for-peace agendas

This article presents an empirical study that delves into the complex dynamics of business–society relationships in fragile postconflict contexts. It addresses a crucial question: How does the interpretation of peace shape business-for-peace agendas? Our qualitative case study of Colombia, involving 41 stakeholder interviews and document analysis, focuses on the department of Antioquia. This region is undergoing a transformative process through the Development Programs with a Territorial Approach, known as PDET. These instruments aim to stabilize and transform conflict-affected regions, thereby contributing to peacebuilding in the country. Our findings reveal three distinct types of business-for-peace agendas, each rooted in different interpretations of peace: those that are direct, indirect, or independent from the government peace agendas. We propose an approach for tracing peace polysemy and establishing a minimal convergence between peace agendas, offering practical implications for decision-makers. We contribute to business and peace studies and identify promising avenues for future research.

Treat me fairly now or I will commit misconduct later: integrating general strain and procedural (in)justice in graduate education

Purpose The purpose of this paper is to integrate general strain theory and procedural justice in the context of research misconduct in university settings. Design/methodology/approach Drawing on media accounts and past research, the authors present data on the financial costs of research misconduct to universities and identify graduate school processes as a possible source of strain may lead to misconduct. Relevant research on procedural justice in organizational settings is also examined. Findings The available literature suggests that the use of procedurally just practices will help reduce strain, and in doing so, potentially prevent research misconduct in university settings. The authors present an integrated theoretical model that can be tested in future empirical studies of research misconduct and other forms of white-collar crime in universities. Directions for future theoretically informed research are discussed, along with recommendations for graduate program administrators. Originality/value Research misconduct causes significant financial and reputational costs to universities. While past research focuses on mentoring and training for preventing misconduct by graduate students, this study argues that the use of fair evaluations and other procedurally just processes is also important.

Exploring the effect of telepresence and escapism on consumer post-purchase intention in an immersive virtual reality environment

As immersive virtual reality technologies become increasingly sophisticated and transform consumers' consumption patterns, the researchers called for empirical studies to uncover the consequences of immersive technology. Accordingly, this study explores the direct impact of immersion on psychological empowerment and post-purchase intentions. We also determine the mediating role of telepresence and escapism and the moderating role of interaction with avatars. Drawing upon telepresence theory, the conceptual framework was tested using data from 330 respondents. The results of structural equation modeling revealed that telepresence and escapism mediate the relationship between immersion, psychological empowerment, and post-purchase behavior. Moreover, interaction with the avatar also acts as a boundary condition between the relationship of immersion with escapism and telepresence. We extended the existing literature by empirically testing the role of immersive technologies and for practitioners to increase post-purchase behaviors by focusing on telepresence and escapism.

Project risk management in practice: the actuality of project risk management in organizations

PurposeThis paper explores how risks are managed in project practice beyond formalized risk management processes by applying the lens of actuality research to project risk management.Design/methodology/approachThe paper follows a qualitative multimethod research approach utilizing literature review, interviews, observations and document analysis. The paper is based on three case studies and one interview study in project organizations facing green transition challenges.FindingsLittle work exists to reveal how risk management is actually done by project practitioners, and why. Few studies report on contextual variation and consider confounding factors beyond a “one size fits all” formalized explicit risk management process, despite ample evidence that risks are managed outside the formal process. The study documents that informal and/or implicit risk management activities add significantly more value.Originality/valueThe paper contributes a literature review of research into the actuality of project risk management, a sense-making framework of how risks are managed in practice beyond the formal, explicit risk-management process by including informal and/or implicit risk management activities, an empirical study of risk-management practice highlighting that informal and/or implicit risk-management activities dominate in practice, a discussion of why risks are managed outside formalized, explicit process and a research agenda to enable the design of impactful project risk-management practices.

The rise of female warriors: Unveiling the factors behind career progression of Indonesia's army corps

Although modern‐day institutions have bridged gender inequality gaps to some extent by recruiting female employees, there is limited information about the career progression (CP) of these females especially in military institutions. Accordingly, the present study aims to investigate the factors affecting the CP of female army corps employed in developing countries. The fundamentals of the theory of gendered organizations are operationalized to develop the theoretical model and investigate whether institutional factors (IFC), sociocultural background (SCB), resource facilitation (RFC), and personal skill and competency (PSC) influence CP of female army corps. The primary data was collected from 352 females employed in the army corps and was analyzed using the structural equation modeling (SEM) technique. The findings confirm that our conceptualized factors (IFC, SCB, RFC, and PSC) influence CP. Particularly, the results indicate a significant positive impact of IFC and PSC and an insignificant positive impact of SCB and RFC on the CP of female army corps. This empirical study contributes to developing gender and talent management strategies in the workplace by enhancing the CP of females.

Empirical study of outlier impact in classification context

In the field of data mining, outlier detection is an important and challenging task. This paper focuses on studying the impacts of outliers on the performance of models learned from large-scale datasets while it is unknown whether a data point is outlier or not. In the proposed approach, a fuzzy c-means clustering algorithm is applied and outliers are defined as those that have greater membership values in the cluster and are located further away from the cluster centroid. Ideally, the sample with a higher membership value should be located closer to the cluster centroid. In this context, we calculate the weight of each sample using the AdaBoost algorithm, where a weight determines the representativeness of each sample within the data distribution. Additionally, in this study the impact of weighted loss functions in different situations are discussed in detail. At last, our method is evaluated on 12 UCI datasets and the accuracy of our method is greater than 95% on some datasets, such as banknote 99.99%, biodeg 99.01%, optdigits 99.19%, and letters 97.37%. The experimental results show the efficiency and effectiveness of the proposed approach.

The Effect of Risk Management on Profitability: Empirical Study of Banking Companies Listed in Indonesian Stock Exchange 2019-2023

The Effect of Risk Management on Profitability: Empirical Study of Banking Companies Listed in Indonesian Stock Exchange 2019-2023

Role of land use, green energy, and water resources for food accessibility: Evidence from emerging economies in the lens of COP28

AbstractIn the era of COP28, where most of the developed and developing economies concentrate more on the development of environmentally friendly energy resources to tackle the issue of climate change. Nevertheless, the literature lacks appropriate evidence regarding the influences of green energy and other resources on food security. This study analyses the influences of land use, green energy, and water resources on food accessibility in emerging economies, while also considering the important roles of natural resources, research and development (R&D) expenditure, and economic growth during 1980–2020. Due to non‐linear data dispersion, the novel moments quantile regression is employed. Results assert that land use has a positive significant influence on food accessibility in the presence of water resources and a weaker negative impact in the presence of natural resources. Natural and water resources are detrimental to food accessibility in the Emerging Seven (E7) countries. Furthermore, R&D expenditure and green energy positively (negatively), while economic growth negatively (positively) impacted food accessibility in the presence of natural resources (water resources). The results are robust and validate causal inferences that help develop appropriate policies for emerging economies concerning food accessibility or security. In this rapidly evolving era, most empirical studies consider environmental quality. Conversely, this study contributes to the literature by examining the factors influencing food accessibility, as this issue is of considerable importance because of the rapidly growing global population.

The Effect of Intellectual Capital and Sustainability Reporting Disclosure on Financial Performance with Corporate Governance Mechanism as Moderating Variable (Empirical Study on Companies Listed on the Indonesia Stock Exchange in 2017–2021)

This study aims to analyze the effect of Intellectual Capital and Sustainability Reporting Disclosure on the Financial Performance with Corporate Governance Mechanisms as Moderating Variables on companies listed on the Indonesia Stock Exchange for the 2017–2021 period. This study uses 125 sample firms selected through a purposive sampling method. Data were analyzed using the Partial Least Square (PLS) model. The results of this study indicate that Intellectual Capital has no significant effect on Financial Performance and Sustainability Reporting Disclosure has a significant positive effect on Financial Performance. Corporate Governance Mechanisms can moderate the influence of Intellectual Capital and Disclosure of Sustainability Reporting on Financial Performance. The results of this study have implications for companies to pay more attention to investment through intellectual capital and sustainability reporting, and maintain good corporate governance as a form of internal supervision, because it can affect company performance. Keywords: intellectual capital, sustainability reporting disclosure, corporate governance mechanism and financial performance

Green Transformation of Mining towards Energy Self-Sufficiency in a Circular Economy—A Case Study

This article presents the concept of green transformation of the coal mining sector. Pump stations that belong to Spółka Restrukturyzacji Kopalń S.A. (SRK S.A., Bytom, Poland) pump out approximately 100 million m3 of mine water annually. These pump stations protect neighboring mines and lower-lying areas from flooding and protect subsurface aquifers from contamination. The largest cost component of maintaining a pumping station is the expenditure for purchasing electricity. Investment towards renewable energy sources will reduce the environmental footprint of pumping station operation by reducing greenhouse gas emissions. The concept of liquidation of an exemplary mining site in the context of a circular economy by proposing the development/revitalization of a coal mine site is presented. This concept involves the construction of a complex consisting of photovoltaic farms combined with efficient energy storage in the form of green hydrogen produced by water electrolysis. For this purpose, the potential of liquidated mining sites will be utilized, including the use of pumped mine wastewater. This article is conceptual. In order to reach the stated objective, a body of literature and legal regulations was analyzed, and an empirical study was conducted. Various scenarios for the operation of mine pumping stations have been proposed. The options presented provide full or nearly full energy self-sufficiency of the proposed pumping station operation concept. The effect of applying any option for upgrading the pumping station could result in the creation of jobs that are alternatives to mining jobs and a guarantee of efficient asset management.

Integration of curriculum ideology and politics in higher education: a case study of English linguistics in China

Amidst efforts to fulfill the Chinese government’s education guide for morality building and character cultivating, curriculum ideology and politics have emerged as key aspects in higher education pedagogy. English linguistics, a staple for junior English majors and often perceived as theoretical and challenging, represents an opportunity to align with national education directives. This study explores the integration of ideological and political education within the English major’s curriculum, specifically within an English linguistics course. This paper details an empirical case study conducted in a local Jiangxi university in China, where an “ideological education + linguistics” teaching model was carefully crafted and implemented in the introductory linguistics session. Methodologies included classroom observation, post-lesson questionnaire and interview, revealing enhancements in student engagement, understanding of linguistic concepts, and scientific and logical reasoning. Additionally, noteworthy improvements in teaching methodologies were reported. The findings affirm the model’s feasibility and effectiveness in reinforcing the curriculum ideology and politics in major disciplines, suggesting a beneficial tripartite impact on national educational goals, student learning, and teaching innovation. Research significance indicates that by applying their experiences, front-line teachers can act as researchers, enhancing the implementation of educational research; besides theoretical studies, micro case studies are essential to validate and complement educational research, thus contributing to the development of a comprehensive theoretical framework.

The coevolution of corporate capabilities in intellectual property management and technological innovation

PurposeIn this study, we investigate how capability in managing intellectual property may be treated as a type of “dynamic capability,” and we seek to understand how, when it is linked to the new technology development capability of a complex technological organization, these two types of dynamic capabilities may coevolve.Design/methodology/approachWe conducted a longitudinal empirical case study of Airbus, incorporating an abductive research methodology that required investigating theory and empirical data concurrently and iteratively. The data, ranging over a period of two decades from 2000 to 2021, was collected from four different sources, including interviews, internal company documents, publicly available information and patent data.FindingsOur main findings are that the capabilities and roles of the Intellectual Property function in Airbus and their interaction with the company's Technology function have indeed influenced the overall innovation strategy of the organization, and that three coevolutionary phases may be identified in the interactive development of the two functions.Research limitations/implicationsOur investigation into how new technology development and intellectual property (IP) management capabilities coevolve within complex technological organizations, exemplified by Airbus, provides significant theoretical and practical implications. Theoretically, it enhances understanding of capability co-development dynamics in complex organizations, particularly in strategic IP management. Practically, it suggests aligning IP strategy with overall corporate objectives and optimizing organizational structures to promote collaboration and efficiency across IP and technology teams. This alignment may foster innovation, maximize the value of intellectual assets and strengthen collaborations, positioning organizations for long-term success in competitive landscapes.Originality/valueThis study makes a fresh contribution to the innovation studies literature by showing how if intellectual property management is treated as a core function of a complex technological organization – rather than simply as a vehicle for protecting new inventions and products after the fact or simply as a constituent part of the organization's legal function – it may contribute proactively to the organization's technological innovation performance. We also address the current gap in the academic literature for a clear understanding of the processes by which different function-specific dynamic capabilities may coevolve in a complex organization operating as part of a dynamic and complex adaptive system.

Practice and Research on Blockchain Technology Empowering Digital Art Economy

Blockchain technology, with its characteristics of decentralization, security, transparency, and traceability, brings new opportunities and challenges to the development of the digital economy and the digital art economy. Based on existing literature research, this paper deeply analyzes the core concepts and working principles of blockchain technology and explains its dual role in the digital economy and digital art economy from a theoretical perspective. On this basis, this paper conducts an empirical study on the application of blockchain technology in the digital economy and digital art economy through typical cases and explores future development trends of blockchain technology in this field.

The Entropy and Energy for Non-Mechanical Work at the Bose–Einstein Transition of a Harmonically Trapped Gas Using an Empirical Global-Variable Method

Quantum thermal engines have received much attention in recent years due to their potential applications. For a candidate group, harmonically trapped gases under Bose–Einstein condensation (BEC), we see little investigation on the energy transference around that transition. Therefore, we present an empirical study with rubidium-87 gas samples in a magnetic harmonic trap. We developed an empirical equation of state model to fit to our experimental dataset, expressing the pressure parameter in terms of temperature, and six technical coefficients, functions of the volume parameter and the number of atoms. By using standard thermodynamic relations, we determine the system’s entropy, shown to be constant at the BEC transition, as expected. Being isentropic makes the BEC transition an energy source for non-mechanical work. Hence, we observed that the enthalpy at the BEC transition, at fixed values of the volume parameter, grows fairly linearly with the number of atoms. We fitted a linear function to that data, finding the specific enthalpy of the BEC transformation and the intrinsic enthalpic loss for BEC. We deem this study to be a step closer to practical quantum-based engines.

Chorological abductive inferring: case studies of tracing spatial dissemination of COVID-19

Abstract COVID-19 did not disappear in the third year (2022) of the global pandemic. On the contrary, the number of infected people several times exceeded the highs of previous years, but the greater morbidity was not accompanied by a relatively comparable number of deaths. Some studies showed that the SARS-CoV-2 virus impact, e.g. in CEE EU countries, characterizes the seasonal intensity as temperatures fall or rise in relative humidity. All researchers agree that the number of COVID-19-infected people is only an estimate based on the volume of tests performed and that the true numbers are usually much higher. The implementation of spatial interaction modeling could potentially aid in the control of the COVID-19 pandemic due to the inherently spatial nature of its diffusion. The gravity models used in this investigation to simulate the regional spread of the COVID-19 epidemic are based methodologically on previous empirical studies. The proposed methodology uses techniques for modeling spatial interactions due to the epidemics described above, which are a direct result of the number of contacts between individuals. The COVID-19 pandemic can be studied regionally using spatial diffusion methods as well as population potential models (spatial interaction models) and visualized using geographic information system software. Empirical verification and geovisualizations are based on available recent population and pandemic statistics that are possible to acquire from national health services. Methodologically, this type of modeling and simulation aimed at reconstructing a factual situation can be defined as abductive chorological inferring.