Empirical Test Research Articles

Simulation and Experimental Research on a New Symmetrical Hydraulic Piezoelectric Energy Harvester

This study introduces a new symmetrical hydraulic piezoelectric energy harvester. By integrating theoretical analysis, simulation, and empirical testing, the research delves into the energy‐harvesting potential of monolithic single‐side output, monolithic two‐side parallel‐connected output, stacked one‐side parallel‐connected output, and stacked two‐side parallel‐connected output under varying parameter configurations. Additionally, it elucidates the energy dissipation occurring during the energy‐harvesting process of stacked piezoelectric disks. It has been observed that the primary determinant of voltage is the amplitude of pulsation, not the static pressure. Concurrently, the study also addresses the consistency of power generation between multiple channels. A study is made on whether there is a proportional relationship between single‐channel power generation and multi‐channel power generation. The root mean square (RMS) voltage of each connection sharply rises with resistance from 2 to 100 KΩ. It is found that the performance of parallel connection of monolithic piezoelectric disk is better than that of other connection methods. At 3 MPa and 100 Hz, the optimal resistance is 16 KΩ, yielding a maximum average power of 1155.63 μW and an optimal power density of 1.774 μW (bar mm3)−1. Consequently, the research offers a novel approach to addressing the issue of sustainable energy supply for low‐power electronic devices and sensors.

Exploring the influence of workplace environment on job performance: a socio-cognitive perspective

This study investigates the evolution of job performance from socio-cognitive and knowledge-based perspectives, focusing on key perceived environmental factors. The research model proposed posits that perceived diversity and procedural justice positively affect job performance through the mediation of job self-efficacy and work engagement. Additionally, knowledge-oriented leadership is examined as a moderator influencing the formation of job self-efficacy and work engagement. Empirical testing of these hypotheses was conducted using field survey data collected from working professionals in a prominent computer and communication firm within the high-tech industry. The findings not only have theoretical and practical implications but also acknowledge certain limitations inherent in the research. Specifically, a limitation of this study is that it surveyed professionals in technology companies, so caution is advised when extending its implications to employees in non-tech sectors.

Influence from highways on regional economic growth – based on the trade potential in China

The question of whether the construction of the highway network is economical and can produce positive economic benefits has been a hot topic of discussion in recent years. Previous scholars have explored the impact from multiple perspectives. Our paper draws the “trade potential” model proposed by Armstrong, based on the universal gravity model and the principle of space interaction, which is different from the traffic accessibility, market potential, and market access used in most of the literature. We argue that it is more appropriate to consider both the size impact and the time distance or trade cost impact of the two cities. The paper constructs a conceptual framework and theoretical model for the impact of highways on regional economic growth, measures the “minimum transit time” of highways between prefecture-level cities in China, and calculates the trade potential of prefecture-level cities. Through corresponding empirical model testing, we have obtained some meaningful conclusions.

What causes polarized stagnation, corporate economy, or welfare state?: Insights from new development economics

AbstractThis study explores polarized economic stagnation from the perspective of a capitalist corporate economy. It introduces two institutional policy paradigms: economic differentiation (ED) and economic egalitarianism (EE). ED‐friendly “market democracy” promotes shared growth, whereas EE‐friendly “egalitarian democracy” leads to polarized stagnation. The corporate economy is portrayed as the epitome of the ED institution leading shared growth, whereas the redistributive welfare state based on EE institutions could bring polarized stagnation. Empirical analysis tests these hypotheses and discovers that the world's polarized stagnation may be linked to “welfare policy under egalitarian democracy” rather than “corporate growth under market democracy” as commonly thought.

Adapting the Meaning of Home Questionnaire for People with Dementia: Initial Empirical Testing of Practicability and Psychometric Properties

Most people with dementia prefer to remain in their homes for as long as possible, despite facing various challenges in daily life due to cognitive decline. Until now, the meaning of home in this target group has primarily been explored through qualitative interviews. The objective of the current study was to modify the Meaning of Home Questionnaire for use with individuals with dementia and to provide an initial evaluation of psychometric characteristics. In study 1, the questionnaire was simplified in several steps and dementia-specific items were added, including testing in a pilot sample of cognitively impaired individuals (N = 30). Study 2 explored the factorial structure of the new questionnaire in a cognitively unimpaired sample (N = 574), suggesting a 21-item version with five factors: comfort, everydayness, sociability, overwhelm, and autonomy. Currently, a study with a sizable sample of cognitively impaired individuals is being conducted to further validate the questionnaire and develop a final version for its implementation. It can help to understand the needs of individuals with dementia at home, facilitating the development of support strategies for remaining at home or adapting to a new home for a smoother settling-in process.

Abstract C008: Patient-derived organoids and precision medicine: Insights from the PASS-01 clinical trial in PDAC

Abstract Introduction: Pancreatic ductal adenocarcinoma (PDAC) is challenging as most patients are diagnosed at an advanced stage with limited treatment options. Tailoring therapies for individual patients is paramount due to the aggressive nature of the disease. Our work explores patient- derived organoids (PDOs) as in vitro tumor models to dissect molecular signatures and conduct pharmacotyping, aiming to enhance precision medicine. Methods: In the PASS-01 stage IV PDAC clinical trial, biopsies were collected for molecular correlatives, including establishment of PDO models. Tissue samples were collected from patients at six institutes across the United States and Canada, highlighting our ability to integrate PDO models into a robust, multi- institutional clinical framework. Most biopsies were collected from liver metastases, followed by primary pancreas tumors, peritoneal, omental, lymph node, lung, and brain metastases. KRAS mutation status by ddPCR was used to validate neoplastic cells in the organoid cultures and identify pseudonormal outgrowth. Established PDO lines were subjected to high throughput drug screening for 120+ compounds, comprising both standard-of-care (as monotherapy and in combination therapies) and experimental agents. Subsequently, validated PDO lines were expanded, biobanked and harvested for RNA and DNA sequencing. Results: During the trial, 186 biopsies from 183 enrolled patients were shipped to CSHL for PDO establishment. The overall malignant PDO establishment rate was 50% across all biopsy sites and patients. Interestingly, PDOs could be generated more often from patients that rapidly progressed on therapy (p = 0.03). Furthermore, by comparing the characteristics of the primary biopsies to the established PDO, PDOs were more frequently generated from Moffitt subtype classical (64% establishment) compared to basal (35%), and from those with a KRASminor imbalance (67% establishment) compared with KRAS wild-type (36%), balanced (58%), and KRASmajor imbalance (52%). The average time from tissue receipt to first drug screen data was 65 days, with six PDOs screened in under 30 days. This turnaround time enabled PDO therapeutic data to be presented at monthly molecular tumor boards. Consequently, these data were considered alongside other clinical trial correlates to aid in selection of second-line therapies when patients progressed. Conclusions: The PASS-01 trial facilitated the real-time generation of PDO models and reporting of therapeutic results. We identified correlations between PDO establishment and patient characteristics, and improved the methods to detect pseudonormal outgrowth. PDO pharmacoptyping identified sensitivity that correlated with patient outcomes on GnP, while also highlighting challenges of using empiric drug testing for chemotherapy sensitivity. Moving forward we aim to continue incorporation of PDOs and tumor molecular profiling to aid in patient therapy selection. We anticipate this work to be crucial as targeted therapies, including KRAS inhibitors, become mainstream in PDAC care. Citation Format: Amber N. Habowski, Dennis Plenker, Hardik Patel, Caitlin Tsang, Luce St. Surin, Fatim Kouassi, Deepthi Budagavi, Grainne M O'Kane, Stephanie Ramotar, Kenneth H Yu, Faiyaz Notta, Andrew Aguirre, Brian Wolpin, Dan Laheru, Daniel A King, Elizabeth M Jaffee, Jennifer J Knox, David A Tuveson. Patient-derived organoids and precision medicine: Insights from the PASS-01 clinical trial in PDAC [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Advances in Pancreatic Cancer Research; 2024 Sep 15-18; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2024;84(17 Suppl_2):Abstract nr C008.

Gender and racial minorities on corporate boards: How board faultlines and CEO‐minority director overlap affect firm performance

AbstractResearch SummaryIn this article, we examine the multidimensional and multilevel nature of diversity in the context of corporate boards. Using the concept of faultlines, we argue that when gender and racial background aligns with human capital attributes of board members, faultlines may be formed with negative implications for firm performance. However, the potential negative impact of faultlines can be alleviated by overlaps in the characteristics of the CEO and minority directors. Specifically, we find that higher overlaps in tenure and personal range of functional experiences help overcome some of the disadvantages that minority directors face and moderate the relationship between board faultline strength and firm performance. Empirical tests using 14 years data on 262 firms belonging to S&P500 index largely support our theoretical ideas.Managerial SummaryBoards often suffer from unhealthy team dynamics. In this article, we explore how alignment of board members' attributes may lead to potential subgroup formation within boards. Specifically, we examine how, under existing pressures to increase demographic diversity on corporate boards, alignment of human capital characteristics with gender and racial minority status may lead to the formation of board faultlines that negatively influence firm performance. Our results suggest that the CEO plays a pivotal role in overcoming negative consequences of board faultlines by utilizing shared tenure on board and common functional experiences with minority board members. Our research suggests that board selection needs to focus beyond scrutinizing individual‐level human capital and instead understand alignments of directors' profiles that enable optimal board functioning.

The Developmental Collision Hypothesis: An Empirical Test With Three Generations of Sexual Minority Youth.

Sexual minority youth experience disproportionate rates of mental health symptomatology relative to their heterosexual peers. Less is known about why these disparities have persisted despite growing public awareness of sexual diversity. The developmental collision hypothesis states that increased cultural visibility of sexual diversity has accelerated the developmental timing of sexual minority identity formation processes such that they collide with early adolescence, a uniquely sensitive period for experiencing identity-based stigma and associated mental health vulnerability. To test this hypothesis, levels and relations between ages of sexual minority identity development milestones, frequency of LGBT-related victimization, and depressive symptoms were examined across three age-matched but cohort-distinct samples of sexual minority adolescents. Data come from three secondary datasets of sexual minority youth who were adolescents in the 1990s, 2000s, and 2010s, respectively: the Challenges and Coping Study, the Victimization and Mental Health among High Risk Youths Study, and the Risk and Protective Factors for Suicide among Sexual Minority Youth Study (n = 1312; Mage = 17.34, SD = 1.30; 52% female). Adolescents from more recent cohorts reported earlier mean ages of several milestones but similar frequencies of LGBT-related victimization relative to those from less recent cohorts. Path analysis models showed that earlier milestones were associated indirectly with more depressive symptoms through LGBT-related victimization. Notably, earlier ages of self-identification and disclosure of a sexual minority identity were also directly related to less depressive symptoms. Few generational differences in relations between constructs emerged. Findings garner initial support for the developmental collision hypothesis and suggest that LGBT-related victimization, rather than earlier milestones themselves, increases mental health vulnerability.

Technological and market sensing capabilities as drivers of SME participation in public procurement: an empirical test of the moderating role of financial capability

Technological and market sensing capabilities as drivers of SME participation in public procurement: an empirical test of the moderating role of financial capability

Optimizing Flipped Classroom Teaching in College Basketball Through 'Internet +' Algorithm

The integration of the flipped classroom model with network technology has revolutionized college basketball education, shaping a new era of instructional dynamics. This study delves into the optimization process of algorithms within the “Internet +” technology framework, with a focus on enhancing recognition accuracy. Through a comprehensive exploration of the application of the “Internet +” algorithm across different academic grades in the context of flipped classroom teaching for college basketball, insights from both students and teachers are synthesized. Empirical tests underscore the effectiveness of incorporating “Internet +” technology into the pedagogical framework of college basketball flipped classrooms. By identifying and addressing prevalent teaching challenges inherent in this setting, the research proposes strategic interventions aimed at elevating the overall teaching quality of college basketball flipped classrooms.

Financial Development and Income Inequality: Evidence from Latin America, 2001-2021

Numerous studies delve into the theoretical frameworks on finance and inequality. However, there are too few empirical tests on its theoretical relations due to a lack of data to capture financial development. Additionally, due to the many social and economic dimensions of a large economy such as Brazil or Argentina, it is unrealistic to consider that labor market or political issues are the only culprits of income inequality. More research is needed to understand the dynamics of inequality. In this paper, we evaluate the influence of financial development on income inequality using nineteen countries in Latin America from 2001 to 2021. Two indicators of financial development are employed. First, I use the broader definition of money, M3, as a percentage of GDP to capture the liquid liabilities because M1 or M2 may be a poor proxy in economies with weak financial systems. Secondly, the ratio of credit to private sector to GDP is employed because financial intermediaries with higher volumes of credit are more involved in financial development, such as diversifying risk, saving mobilization, facilitating transactions, allocating funding to economic activities, and monitoring borrowers’ activities. Based on the GMM estimator, our empirical findings support that better-developed financial markets reduce inequality.

Enhancing Flight Delay Predictions Using Network Centrality Measures

Accurately predicting flight delays remains a significant challenge in the aviation industry due to the complexity and interconnectivity of its operations. The traditional prediction methods often rely on meteorological conditions, such as temperature, humidity, and dew point, as well as flight-specific data like departure and arrival times. However, these predictors frequently fail to capture the nuanced dynamics that lead to delays. This paper introduces network centrality measures as novel predictors to enhance the binary classification of flight arrival delays. Additionally, it emphasizes the use of tree-based ensemble models, specifically random forest, gradient boosting, and CatBoost, which are recognized for their superior ability to model complex relationships compared to single classifiers. Empirical testing shows that incorporating centrality measures improves the models’ average performance, with random forest being the most effective, achieving an accuracy rate of 86.2%, surpassing the baseline by 1.7%.

Balancing Data Privacy and Compliance in Blockchain-Based Financial Systems

This study explores the balance between data privacy and regulatory compliance in blockchain-based financial systems, focusing on privacy-enhancing technologies (PETs) such as Zero-Knowledge Proofs (ZKPs) and multiparty computations (MPCs). Through a comprehensive methodology combining literature review, comparative analysis, and empirical testing on the Ethereum test network, the research reveals significant trade-offs. Implementing ZKPs increased transaction times from 5 seconds to 12 seconds and gas fees from 0.02 ETH to 0.05 ETH, while computational load rose by 60%, highlighting the impact on scalability and efficiency. Chi-Square tests and regression analysis uncovered notable algorithmic biases, with low-value accounts experiencing 15% fewer transaction approvals and small mining pools receiving 20% fewer rewards than larger counterparts. Additionally, MPCs, while offering robust privacy, increased communication overhead by 35%, posing scalability challenges. The study recommends adopting a tiered privacy approach, implementing basic privacy measures for low-sensitivity transactions, and advanced technologies like ZKPs for high-sensitivity transactions while optimizing ZKPs to reduce their computational burden and enhance transaction speeds, and integrating artificial intelligence to detect and mitigate algorithmic biases in blockchain systems. Future research should also explore hybrid privacy solutions that combine the strengths of different PETs, such as ZKPs and MPCs, to achieve both robust privacy and high efficiency. Furthermore, investigating quantum-resistant cryptographic methods is crucial to safeguarding blockchain systems against emerging threats. These insights provide valuable guidance for financial institutions, blockchain developers, and policymakers, promoting the development of blockchain-based financial systems that optimize data privacy while maintaining system performance and regulatory compliance.

Land use policy implications of demographic shifts: Analyzing the impact of aging rural populations on agricultural carbon emissions in China

China is facing a unique demographic challenge with its population entering a phase of negative growth, alongside the growing issue of Rural Population Aging (RPA). This has brought significant attention to the broader population challenges the country is encountering. While the aging of rural populations has been a focal point of discussion, there remains a need for deeper insights into how it specifically impacts Agricultural Carbon Emissions (ACE). To address this knowledge gap, this study has devised a research framework grounded in the human-land relationships theory. This framework seeks to analyze the influence of RPA on ACE. Empirical tests have been carried out using provincial (municipal) panel data spanning from 2002 to 2019. The study's findings indicate that RPA exacerbates ACE, particularly in regions with a pronounced aging rural demographic. However, this adverse effect is lessened in coastal areas and placed with a lighter rural aging phenomenon. Additionally, the negative impact gradually diminishes in the long term. From a land utilization perspective, RPA contributes to Land Misallocation (LM), serving as a critical conduit through which RPA influences ACE. Nevertheless, mitigating factors such as Land Transfer (LT) and Land Scale (LS) help alleviate this negative influence. This mitigation is more pronounced in the long run. In the context of smallholder farmers, the study suggests that a moderate-scale expansion and the promotion of new agricultural models can be instrumental in achieving broader agricultural carbon reduction targets.

Procedural constraints and regulatory ossification in the US states

AbstractScholars of the US regulatory process routinely assert that rulemaking is “ossified”—that it has become so encumbered with procedural constraints that it is difficult for agencies to issue socially desirable regulations. Yet, this claim has rarely been subject to empirical testing, and this is particularly true at the sub‐federal (i.e., US state) level. But the same factors that allegedly cause ossification in federal agencies also exist in the states. Using original survey data from 1460 agency leaders from across all 50 states, we present evidence suggesting that state agencies issue numerous rules and appear to do so quickly. We then focus on the procedural constraints that supposedly drive ossification and present some of the first evidence questioning the argument at the state level. We conclude that fears about the supposed tendency of procedural oversight mechanisms on the ability to regulate may be exaggerated.

The MADE Framework: Best Practices for Creating Effective Experimental Stimuli Using Generative AI

This paper introduces the MADE (Mapping, Assembling, Demonstrating, Executing) framework, a comprehensive set of best practices for the ethical and effective use of generative artificial intelligence (AI) in creating experimental stimuli for advertising research. The framework was developed through an extensive exploration of various emergent generative AI tools used in common experimental manipulations. We apply the MADE framework to demonstrate the creation of high-quality, realistic experimental ads using leading generative AI tools. Our empirical testing shows that AI-generated stimuli are valid, with consumers rating them equally high in quality, appropriateness, and realism compared with professionally created ads. This finding underscores the viability of AI-generated ads in advertising research. Additionally, we discuss the importance of adhering to ethical standards and ensuring transparency in AI use. By combining technological innovation with methodological rigor, this paper aims to guide researchers in leveraging the potential of generative AI while addressing its ethical implications, thereby enhancing the realism and validity of experimental advertising research.

Can Industrial Digitalization Boost a Consumption-Driven Economy? An Empirical Study Based on Provincial Data in China

A consumption-driven economy refers to an economic growth model primarily driven by domestic consumption and is a common goal for the economic growth of various countries. To explore the impact of industrial digitalization on a consumption-driven economy, this paper conducts an empirical study based on data from 31 provinces in China from 2013 to 2021. The empirical test results indicate: first, industrial digitalization significantly promotes the development of a consumption-driven economy, mainly reflected in the improvement of economic foundation and consumption levels, but shows no significant effect on improving the consumption structure. Second, mechanism analysis results show that industrial digitalization can promote the development of a consumption-driven economy by fostering innovation and advancing the industrial structure. Third, heterogeneity analysis results reveal that the promotion effect of industrial digitalization on the consumption-driven economy exists only in eastern and central China but not in western China, indicating that industrial digitalization in underdeveloped areas cannot exert a positive effect on the consumption-driven economy.

Bibliometric analysis of service quality and customer satisfaction in Islamic banking: a roadmap for future research

Purpose This study aims to conduct a comprehensive bibliometric analysis, assessing studies related to service quality and customer satisfaction in Islamic banking. Design/methodology/approach Using a bibliometric approach, this research draws from literature samples retrieved in April 2023 from the SCOPUS database. The sample encompasses 138 articles published between 1999 and 2023, adhering to specific selection criteria. Analytical tools such as R program, VOSviewer and Microsoft Excel were used to categorise the data into three primary domains: productivity, citation patterns and network analysis. These categories further include the identification of research flows and prospective areas for further investigation. Findings The results indicate a substantial surge in publications between 2011 and 2022 involving 372 authors. This study identifies the primary contributors in terms of countries, affiliations, publications, sources and researchers. Seven distinct clusters emerged from the 138 papers, encompassing customer attitude, comparison studies, digital banking, customer loyalty, customer trust, consumer determinants and service quality. Additionally, the study outlines a future research agenda, posing specific research questions. Research limitations/implications Recognising the limitations inherent in focusing solely on Scopus-indexed publications, future studies may benefit from incorporating various databases, such as the Web of Science, for a more expansive exploration of study units. A systematic review of articles on a specific topic could also enhance the comprehensiveness of the study. Practical implications This investigation empowers Islamic bank managers to devise targeted marketing plans, differentiating themselves from competitors. By implementing relevant improvements in operational and service processes, managers can enhance the customer experience, fostering a lasting competitive advantage. For academics, this study lays a robust foundation for further research, encouraging the development of a comprehensive conceptual model and empirical testing. The identification of current research gaps enables researchers to focus on areas that remain underexplored. Originality/value This study not only illuminates critical gaps in existing research but also proposes a research agenda to guide future researchers in remaining pertinent, particularly within the context of Islamic banking marketing.

Unraveling the dark side of resilience: entrepreneurial resilience diversity in new venture teams and entrepreneurial performance

PurposePrevious studies may have overstated the benefits of entrepreneurial resilience while neglecting its potential adverse effects, especially in the context of team entrepreneurship. This study focuses on the structural characteristics of resilience, entrepreneurial team resilience diversity, to delve into the potential dark side effects of entrepreneurial resilience. Drawn upon the similarity-attraction theory, this study investigates the detrimental impact of entrepreneurial team resilience diversity on entrepreneurial performance from the team-member exchange (TMX) perspective, which describes the reciprocal relationships within a team and the moderating effect of environmental hostility.Design/methodology/approachThe study collected data by conducting a two-wave survey. With the assistance of officials from entrepreneurship service agencies, entrepreneurship parks and entrepreneurship training institutions in southeast China, this study collected survey data from 361 participants of 91 entrepreneurial teams. The current research conducted empirical tests with SPSS and PROCESS macro to test the hypotheses.FindingsEmpirical results from a two-wave survey of 91 entrepreneurial teams in China reveal the detrimental effects of entrepreneurial resilience. In the context of team entrepreneurship, the diversity of a team’s entrepreneurial resilience negatively impacts entrepreneurial performance by impairing the quality of TMX. Moreover, the indirect effect of TMX is strengthened in more hostile environments.Originality/valueExisting studies have mainly focused on the positive side of resilience. However, based on the similarity-attraction theory, this study explores the potential adverse effects of the structural characteristics of entrepreneurial team resilience from the perspective of team-member exchange (TMX). This study enriches the literature on resilience by demonstrating how resilience functions in new venture teams and challenges the assumption that resilience is universally beneficial to entrepreneurs. Introducing team members with high resilience in a hostile environment may not always benefit the team, deepening the understanding of entrepreneurial resilience when confronting adversities.

Emotional intelligence and organizational commitment: An affective association in the context of Lebanese universities

This paper aims to assess the influence of emotional intelligence on organizational commitment. A quantitative survey was conducted among the academic staff of Lebanese universities to reach this objective. This research paper is an explanatory, descriptive, and confirmatory study. This cross-sectional study is based on a quantitative method to examine the validity of the theory or model. This research favors the deductive approach. This approach enables the deduction of a general conclusion from hypotheses. The structured questionnaire is constructed on the theoretical constructs of the mixed approach of the Goleman model, evaluating the following six components: self-awareness, self-control, internal motivation, empathy, leadership skills, and interpersonal relationship management. Empirical testing incorporates the plurality of causes and effects of interaction in this explanatory, descriptive research. Universities confront a lack of employee commitment. Emotional appreciation drives commitment to the organization. E.I. denotes the aptitude to detect, categorize, and use feelings to smooth rational decisions. The study verified that E.I. components significantly and positively influence organizational commitment, with internal motivation having the highest influence in Lebanese universities. Soft skills are essential abilities. Decision-makers and managers of Lebanese universities, conscious and attentive to the influence of employees' emotions, should integrate emotional intelligence into their managerial practices. To build and maintain organizational commitment, displaying appropriate emotions, interpersonal relationships, and communication are compulsory.