Empirical Study Research Articles

Building supply chain resilience in small and medium-sized clothing retailers in Australia: an empirical study

Building supply chain resilience in small and medium-sized clothing retailers in Australia: an empirical study

Dementia-Friendly Transportation Services: A Scoping Review.

Transportation is an important component of dementia-friendly communities. People living with dementia have the right to access transportation services to keep their mobility in their community, which is essential for independence, well-being, and quality of life. This scoping review maps the literature on dementia-friendly transportation services and explores their characteristics to inform future development and research. Empirical quantitative and qualitative studies in English or French that informed on transportation services for people living with dementia in the community were searched in 15 databases. Two authors independently screened records and charted relevant characteristics from selected publications. Important findings were summarized with a narrative synthesis approach. Thirty-five studies informed on important dimensions of transportation services in urban and/or rural context: availability, accessibility, acceptability, adaptability and affordability. Important insights were identified: the importance of staff training and attitude, and the challenges of availability of affordable services in the rural context. Emerging policy and program intervention areas include the need for access to quiet areas in transit hubs, training to use mass public transit and mobility management. The literature on dementia-friendly transportation services is important in the expansion and maintenance of mobility for people living with dementia in the community. The scope of the existing scientific literature remains limited. While several studies indicated a clear need for better access to dementia-friendly transportation services, the best practices still need to be demonstrated in the scientific literature.

Impact of institutional pressures and security on blockchain technology adoption and organization performance: an empirical study

Impact of institutional pressures and security on blockchain technology adoption and organization performance: an empirical study

Dividend Policy and its Impact on Stock Prices: An Empirical Study on Selected Indian Steel Companies

Dividend Policy and its Impact on Stock Prices: An Empirical Study on Selected Indian Steel Companies

Personal Attributes and Emotional Intelligence on Employability among Graduate Employees in SMEs: An Empirical Study in Selangor, Malaysia

Personal Attributes and Emotional Intelligence on Employability among Graduate Employees in SMEs: An Empirical Study in Selangor, Malaysia

Approaches to improving mental health care for autistic children and young people: a systematic review and meta-analysis.

Autistic children and young people (CYP) experience mental health difficulties but face many barriers to accessing and benefiting from mental health care. There is a need to explore strategies in mental health care for autistic CYP to guide clinical practice and future research and support their mental health needs. Our aim was to identify strategies used to improve mental health care for autistic CYP and examine evidence on their acceptability, feasibility, and effectiveness. A systematic review and meta-analysis were carried out. All study designs reporting acceptability/feasibility outcomes and empirical quantitative studies reporting effectiveness outcomes for strategies tested within mental health care were eligible. We conducted a narrative synthesis and separate meta-analyses by informant (self, parent, and clinician). Fifty-seven papers were included, with most investigating cognitive behavioral therapy (CBT)-based interventions for anxiety and several exploring service-level strategies, such as autism screening tools, clinician training, and adaptations regarding organization of services. Most papers described caregiver involvement in therapy and reported adaptations to communication and intervention content; a few reported environmental adjustments. In the meta-analyses, parent- and clinician-reported outcomes, but not self-reported outcomes, showed with moderate certainty that CBT for anxiety was an effective treatment compared to any comparison condition in reducing anxiety symptoms in autistic individuals. The certainty of evidence for effectiveness, synthesized narratively, ranged from low to moderate. Evidence for feasibility and acceptability tended to be positive. Many identified strategies are simple, reasonable adjustments that can be implemented in services to enhance mental health care for autistic individuals. Notable research gaps persist, however.

Experience of Family Members of Relatives With Substance Use Disorders: An Integrative Literature Review.

Background: Substance use disorders (SUDs) present substantial challenges for family members living with or supporting relatives with SUDs. This review explores existing literature on family members' experiences with relatives with SUDs and their support needs. Method: An integrative review was conducted by searching literature in the Cumulative Index of Nursing and Allied Health, PubMed, PsycINFO, ProQuest, and Scopus databases. Results: Five themes were generated based on analysis of 26 empirical studies: (a) family members' and caregivers' experiences of SUDs; (b) impact of SUDs-related aggressive/violent behaviors on families; (c) dilemmas faced by family members; (d) culture and family stigma related to SUDs; and (e) factors contributing to SUDs, challenges, and support needs. The review highlighted barriers to seeking support due to stigma and guilt, underscoring the need for structured support programs. Conclusions: This review sheds light on the challenges faced by family members with relatives suffering from SUDs and emphasizes the crucial need for structured support programs. The findings provide insights for developing initiatives to address the social and trauma-induced needs of family members and to establish support resources for them.

An Exploration of China's Image Perception, Influencing Factors and Communication Strategies from a Latin American Perspective -An Empirical Study Based on the 2001-2023 Latin American Barometer -An Empirical Study Based on the 2001-2023 Latin American Barometer

An Exploration of China's Image Perception, Influencing Factors and Communication Strategies from a Latin American Perspective -An Empirical Study Based on the 2001-2023 Latin American Barometer -An Empirical Study Based on the 2001-2023 Latin American Barometer

Digital trading networks and competitive advantage in a buyer-seller network

PurposeFirms embedded in networks of relations are theorized through Gnyawali and Madhavan’s (2001) (G&M) structural embeddedness model to gain competitive advantage from topological characteristics. Empirical studies to support their theory have never been executed in full. Our study provided a full empirical test of their model in a digital trading network to achieve a higher degree of certainty that those network structural characteristics can have a major impact on the degree to which certain firms lead to competitiveness in a digital trading network environment.Design/methodology/approachTo examine how firms respond in competitive situations, we chose the hyper-active digital trading network, eBay as our empirical context. We used eBay auction data to analyze how the network characteristics of eBay resellers impact their competitive behaviors.FindingsOur study found strong support for the G&M model of competitiveness. We offer explanations for where support was not as strong as the Gynawali and Madavan theory proposes.Research limitations/implicationsOur research is limited by our chosen context and findings in support of part of G&M model. Future studies in other digital contexts are needed to enhance the modeling of network topologies and further study the impacts of network density and structural autonomy on competitive action.Practical implicationsOur study suggests that managers proceed cautiously in forming partnerships, weighing circumstances where the firm can find itself with increased information power and avoiding, to the greatest extent possible, situations where the playing field is roughly equal.Social implicationsTheory-making in this domain has begun as well as initial empirical testing. Much more needs to be accomplished, though, before embeddedness modeling can be thought of as being well established.Originality/valueThe G& M Model of competitiveness is an SNA explanation of why some competitive units succeed and others do not. Our study is the first, full blown empirical analysis of the theory.

The Dynamics of Anti-Corruption Campaigns in China: An Empirical Study of the Official Rank-Punishment Nexus in the Context of Political and Legal Changes

The Dynamics of Anti-Corruption Campaigns in China: An Empirical Study of the Official Rank-Punishment Nexus in the Context of Political and Legal Changes

New industrial land use policy and firms’ green technology innovation in China—an empirical study based on double machine learning model

New industrial land use policy and firms’ green technology innovation in China—an empirical study based on double machine learning model

Do Parties Negotiate After Trespass Litigation?An Empirical Study of Coasean Bargaining

Do Parties Negotiate After Trespass Litigation?An Empirical Study of Coasean Bargaining

Underwhelming pleasures: Toward a self-regulatory account of hedonic compensation and overconsumption.

Hedonic overconsumption (e.g., overconsumption of gratifying behaviors, e.g., eating, gaming) is common in daily life and often problematic, pointing to the need for adequate behavioral models. In this article, we develop a self-regulatory framework proposing that when an actual consumption experience falls short of hedonic expectations-such as when being distracted-people will want to consume more to compensate for the shortfall. In a preliminary meta-analysis, a small-scale field experiment on distraction during lunch and subsequent afternoon snacking (Study 1), and a preregistered experience sampling study (Study 2) involving more than 6,000 consumption episodes in everyday life across multiple consumption domains, we investigated the predictions from our hedonic compensation model. There was clear and consistent evidence across studies and analyses for the prediction that distraction during consumption compromises the actual enjoyment of a given consumption experience. Both empirical studies yielded consistent evidence for a positive association between actual enjoyment and consumption satisfaction but inconsistent and weaker evidence for the expected role of actual-expected enjoyment discrepancies for this part of the model. There was also consistent evidence for the expected negative association between consumption satisfaction and the need for further gratification. Finally, there was moderate and inconsistent support linking the need for further gratification to subsequent consumption across Study 1 (amount and frequency of snacking in the afternoon) and Study 2 (shorter duration to subsequent consumption). Taken together, the present framework provides initial support for the proposed link among compromising consumption contexts, consumption enjoyment, and subsequent hedonic compensation. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Business model innovation and creativity impact on entrepreneurship development: An empirical study

Business model innovation and creativity impact on entrepreneurship development: An empirical study

Passing patients’ tests and following patients’ coaching communications in psychotherapy: an empirical study

Passing patients’ tests and following patients’ coaching communications in psychotherapy: an empirical study

Exploring the Moderating Role of Demographic Variables in the Influence of Social Networks on the Mental Health of the Older Persons: An Empirical Study With Social Work Interventions

Exploring the Moderating Role of Demographic Variables in the Influence of Social Networks on the Mental Health of the Older Persons: An Empirical Study With Social Work Interventions

Modified correlated measurement errors model for estimation of population mean utilizing auxiliary information

The existence of measurement errors cannot be avoided in practice. It is a prominent fact that the existence of measurement errors diminishes conventional properties of the estimators. A modified correlated measurement errors model has been proposed. Shalabh and Tsai (Commun Stat Simul Comput 46(7):5566–5593. 10.1080/03610918.2016.1165845, 2017) correlated measurement errors model is a particular member of the suggested modified model. In this article, we have tackled the estimation of population mean utilizing auxiliary information under modified correlated measurement errors model. We have developed ratio and product estimators and studied their properties in case of simple random sampling without replacement (SRSWOR) up to first order of approximation. It has been illustrated that suggested ratio and product estimators are more efficient than the conventional unbiased estimator as well as Shalabh and Tsai (Commun Stat Simul Comput 46(7):5566–5593. 10.1080/03610918.2016.1165845, 2017) ratio and product estimators under very realistic situations. An empirical study has also been performed to demonstrate the merits of the recommended estimators over other estimators.

Enhancing missing persons search strategies through technological touchpoints

ABSTRACT The search for the missing persons is a top priority for police, and technology is playing an increasingly important role in increasing the accuracy and rigour of these investigations. This study aims to increase understanding of police decision-making in the missing persons search process and to examine the desired point and level of technology participation from the user's perspective. Three empirical studies and workshops were conducted with police, UX researchers, and computer science researchers. During the workshops, participants developed diagrams to represent police work methods and difficulties and discussed how to identify optimal touch points for technology integration. The findings revealed that the uncertainty of information is the biggest challenge in missing persons search, and that closed-circuit television (CCTV) is a valuable tool. A comparative experiment was conducted to compare the CCTV utilisation investigation strategies of police experts and novices. Findings showed that experts are more efficient and effective in using CCTV to search for missing persons. Experts used their experiential knowledge to interpret information and judge the reliability of information more accurately than novices. Additionally, novices used strategies through rapid repetition of trial and error, while experts made decisions based on experience and intuition, but pursued decision-making based on explicit information. The study concludes by discussing technological approaches for information identification, analysis, and labour replacement in missing person investigations. Such approaches could help overcome the challenge of uncertainty and improve the overall efficiency and effectiveness of these investigations.

Digital Economy Development, Common Prosperity, and Carbon Emissions: An Empirical Study in China

Under the new development model, the digital economy has become a new engine to promote the green development of the economy and realize the goal of “double carbon”. Based on the panel data of 30 provinces in China from 2010 to 2020, this paper empirically investigates the impact of the development of the digital economy on energy and carbon emissions using a series of econometric models such as baseline regression, a mechanism test, and the spatial Durbin model, etc. Common prosperity plays an intermediary role between digital economy development and carbon emissions; digital economic development optimizes resource allocation, effectively solves the problem of uneven resource distribution, and reduces energy and carbon emissions while achieving common prosperity. In addition, green innovation, industrial structure, urbanization level, R&D intensity, and the degree of marketization also have different degrees of influence on energy and carbon emissions. Therefore, the government should accelerate the construction of new digital infrastructure and implement the digital economy development strategy according to local conditions, so as to promote the digital economy to produce a more significant carbon emission reduction effect.

Research Data Management in the Croatian Academic Community: A Research Study

This paper presents the results of an empirical research study of Croatian scientists’ use and management of research data. This research study was carried out from 28 June 2023 until 31 August 2023 using an online questionnaire consisting of 28 questions. The answers of 584 respondents working in science were filtered out for further analysis. About three-quarters of the respondents used the research data of other scientists successfully. Research data were mostly acquired from colleagues from the same department or institution. Roughly half of the respondents did not ask other scientists directly for their research data. Research data are important to the respondents mostly for raising the quality of research. Repeating someone else’s research by using their research data is still a problem. Less than one-third of the respondents provided full access to their research data mostly due to their fear of misuse. The benefits of research data sharing were recognized but few of the respondents received any reward for it. Archiving research data is a significant problem for the respondents as they dominantly use their own computers prone to failure for that activity and do not think about long-term preservation. Finally, the respondents lacked deeper knowledge of research data management.