bluuebunny/crossref_metadata_2025_split huggingface dataset:
Developing Mathematics teachers' attitude towards technology integration through school-based lesson design teams
Authors: Njiku Joseph , Mutarutinya Védaste , Maniraho Jean François 
Published: August 2023

PurposeThis study aims to investigate the development of Mathematics teachers' attitudes towards technology integration through collaborative lesson design activities as part of professional development.Design/methodology/approachThe pre-and post-test for non-equivalent comparison groups quasi-experiment was adopted as the study design where 125 participants were distributed into three groups in Dar es Salaam – Tanzania. Data analysis was done using gain in scores, t-test, split-plot analysis of variance, and eta-squared.FindingsComparison across groups and between pre-intervention and post-intervention showed that collaborative lesson design activities have more potential to develop Mathematics teachers' attitudes than the isolated implementation of such activities. Relevant recommendations are provided.Practical implicationsThe study offers valuable insights for teacher education especially in-service training focussing on effective ways of developing teachers' competencies especially attitudes towards technology integration.Originality/valueAlthough lesson design studies are prevalent, majority have investigated the development of teachers' knowledge rather than attitude for integrating technology. Additionally, the study sheds light on attitude as a multidimensional construct thereby providing more insight into the subject.
Role of institution in combating crime in India: an empirical study
Authors: Dinda Soumyananda , Khasnobis Poulomi 
Published: August 2023

PurposeThis paper examines the role of institution in the combating crime in India. This study also assesses institutions for controlling property crime in India in the post-reform era.Design/methodology/approachCrime and socio-economic data are taken from National Crime Record Bureau and the Reserve Bank of India, respectively. Twenty major Indian states are selected for the study purpose for the period of 1994–2019. Fixed effect panel data technique is used for analysis purpose.FindingsProperty crime rate declines with economic growth, while it increases with financial development. Findings of fiscal policy instruments are different. Own tax is positively associated with property crime in India, while non-tax fiscal instruments such as fine, penalty, and so on, are inversely related to it. Property crime rate is inversely related to institutional factors like charge sheet and conviction rate.Research limitations/implicationsFurther research is needed for other crimes in India. State-level data are used here for analysis purpose; however, spatial or cluster analysis techniques might provide more insights for combating crimes in India.Practical implicationsThis study suggests that economic growth and fiscal instrument along with institutional development are essential to control property crime in India.Social implicationsGovernment should take steps to improve the law-and-order system to control property crime across states.Originality/valueImpact of non-tax fiscal instrument reduces property crime while that of own tax is increases it in India. These findings are unique and added certain insight in the study. Institutional roles are captured its performances like charge sheet and convict rate, which are significantly reduce property crime in Indian states. Least square dummy variable model is applied to capture individual state effects.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-01-2023-0063
Loyalty and well-being explain serial crowdfunding backing behavior: an empirical test of complementary theories
Authors: Efrat Kalanit , Gilboa Shaked , Wald Andreas , Shneor Rotem 
Published: August 2023

PurposeDespite the critical contribution of serial backers in advancing crowdfunding volumes, few studies have addressed the phenomenon of serial backing. Research on the motivations of backers suggests that cognitive antecedents influence pledging in crowdfunding projects according to the theory of planned behavior. However, intrinsic factors associated with different dimensions of well-being may also explain crowdfunding support. This study seeks to advance the understanding of drivers of serial backing by combining the theory of planned behavior and the theory of well-being.Design/methodology/approachThe study draws on survey data from 336 serial backers, complemented by objective data on the number of campaigns and amounts invested by backers from Headstart, the largest crowdfunding platform in Israel. The research model is tested using structural equation modeling.FindingsThe findings indicate that the well-being of serial backers mediates the impact of attitude, subjective norms and social norms on their loyalty. However, while loyalty can be explained by elements of both theories, it does not translate into actual serial backing behavior.Originality/valueThis study is the first to systematically explore serial backers' motivations in crowdfunding and the influence of these motivations on their actual behavior. It combines two previously separate theories, the theory of planned behavior and the theory of well-being.
Audit quality and classification shifting: evidence from UK and Germany
Authors: Usman Muhammad , Nwachukwu Jacinta , Ezeani Ernest , Salem Rami Ibrahim A. , Bilal Bilal , Kwabi Frank Obenpong 
Published: August 2023

PurposeThe authors examine the impact of audit quality (AQ) on classification shifting (CS) among non-financial firms operating in the UK and Germany.Design/methodology/approachThis paper used various audit committee variables (size, meetings, gender diversity and financial expertise) to measure AQ and its impact on CS. The authors used a total of 2,110 firm-year observations from 2010 to 2019.FindingsThe authors found that the presence of female members on the audit committee and audit committee financial expertise deter the UK and German managers from shifting core expenses and revenue items into special items to inflate core earnings. However, audit committee size is positively related to CS among German firms but has no impact on UK firms. The authors also document evidence that audit committee meetings restrain UK managers from engaging in CS. However, the authors found no impact on CS among German firms. The study results hold even after employing several tests.Research limitations/implicationsOverall, the study findings provide broad support in an international setting for the board to improve its auditing practices and offer essential information to investors to assess how AQ affects the financial reporting process.Originality/valueMost CS studies used market-oriented economies such as the USA and UK and ignored bank-based economies such as Germany, France and Japan. The authors provide a comparison among bank and market-oriented economies on whether the AQ has a similar impact on CS or not among them.
How artificial intelligence impacts the competitive position of healthcare organizations
Authors: Ali Mohamad Talal , Bastone Anna , Bernhard Fabian , Schiavone Francesco 
Published: August 2023

Purpose Digital transformation affected modern society influencing how businesses cooperate and produce value. In this context, Artificial Intelligence plays a critical role. This study aims to explore the role of Artificial Intelligence in organisational positioning within the market, influencing firms' competitiveness. In this vein, this research seeks to respond to the following research question: How does AI impact the competitive advantage of healthcare organizations?.Design/methodology/approach To tackle the research question, an explorative analysis using the case study method to investigate an international healthcare center in Dubai was conducted. Nine semi-structured interviews were conducted with the head and the members of the robotic surgery team in CMC Dubai to thoroughly understand what the components of the robotic approach are and how the arrangement before the introduction of this innovative technique while shedding light on the added value and the advantages of adopting such technique on both patient safety and patient satisfaction. Additionally, archival data and online documentation (e.g. industry reports, newspaper articles and internal documents) were analyzed to obtain data triangulation.Findings The results highlight three primary outcomes influenced by implementing AI in organizational processes: clinical, financial and technological outcomes. The study will offer interesting non-studied insights about the implementation of Artificial Intelligence tools in the healthcare sector and specifically robotic surgeries, and to which extent this will contribute and represent a competitive advantage. Results will hopefully insert a brick in the wall of the impact of AI tools on the quality and the results of surgical operations while emphasizing the benefits of integrating AI in surgical practice.Originality/value This study offers interesting theoretical and practical implications. It opens a new perspective to understand and manage AI tools in service. This research is not without limits providing valuable insights for future research.
Learning in living lab collaboration in primary care – a qualitative study
Authors: Samuelson Sarah , Svensson Ann , Svenningsson Irene , Pennbrant Sandra 
Published: August 2023

Purpose
To meet future healthcare needs, primary care is undergoing a transformation in which innovations and new ways of working play an important role. However, successful innovations depend on joint learning and rewarding collaborations between healthcare and other stakeholders. This study aims to explore how learning develops when entrepreneurs, healthcare professionals and older people collaborate in a primary care living lab.

Design/methodology/approach
The study had an action research design and was conducted at a clinically embedded living lab at a primary care centre on the west coast of Sweden. Data consisted of e-mail conversations, recordings from design meetings and three group interviews with each party (entrepreneurs, healthcare professionals and older people). Data were analysed with inductive qualitative content analysis.

Findings
An overarching theme, “To share each other’s worlds in an arranged space for learning”, was found, followed by three categories, “Prerequisites for learning”, “Strategies to achieve learning” and “To learn from and with each other”. These three categories comprise eight subcategories.

Originality/value
This research contributes to knowledge regarding the need for arranged spaces for learning and innovation in primary care and how collaborative learning can contribute to the development of practice.
Time will tell: examining the role of nostalgia in retro sport merchandise purchase intentions
Authors: Scola Zach , Dwyer Brendan , Gordon Brian S. 
Published: August 2023

PurposeThe authors sought to examine how nostalgic feelings influenced purchase intentions of sport fans towards branded merchandise. Additionally, the goal was to test the childhood brand nostalgia (CBN) scale to see if it was an effective measure in this context. This was an important early step in understanding the way nostalgia may influence sport fan's merchandise preferences.Design/methodology/approachSurveys were completed by 601 fans of two professional sport teams in the USA. These consumers were targeted geographically through Amazon Mechanical Turk (MTurk) and half given a modern branded t-shirt and the other half a retro branded t-shirt. To examine brand nostalgia in this context, the CBN measure was evaluated and examined to see its impact on each group, using hierarchical regressions.FindingsThe results demonstrated that CBN positively impacted consumers purchase intentions in the retro logoed t-shirt group. However, in the modern logoed t-shirt group, CBN did not significantly influence purchase intentions.Practical implicationsThe findings of this study suggest that retro merchandise is working as expected, as it is attractive to those who feel nostalgic about their team. Secondarily, this study's findings suggest it may be vital for marketers to be conscious that their retro materials are connecting to the past.Originality/valueThis study was an early examination of a measure of nostalgia and its impact on purchase intentions in sport. The findings suggested that this CBN instrument may be appropriate in retro marketing research, especially regarding sport merchandise. Further, the findings suggest that nostalgic feelings may be influential toward retro merchandise, but not modern merchandise.
Accounting practices at an Indian winery: the case of new vineyard
Authors: Singh Amrinder , Soni Tarun Kumar , Bhusan Soumik 
Published: August 2023

Research methodology
This case study has been prepared after thoroughly studying the Indian wine industry. Secondary data for the value of wine imported in India has been taken from the website of the Ministry of Commerce and Industry, Government of India. Data for GDP per capita for India has been taken from World Development Indicators, World Bank. Data for revenue generation of top five countries have been sourced from Statista Report on Indian wine market. Fictitious names are used for the Winery (Romaniszyn) and the individual (Harish G.) working there.

Case overview/synopsis
This case revolves around accounting complexities for starting a winery in India. A new vineyard comes with the challenge of the gestation period (five years), during which it would not generate revenue. Harish G. was adept at business development and had experience working with an Italian winery. He was unaware of how difficult accounting decisions would be, including determining the quantum of funds required, ascertaining different financial options to purchase assets and meeting cash requirements. He knew he would not be able to generate any sales for five years at the newly formed winery; the grapevines imported from New Zealand took that long to reach maturity. Furthermore, given that Harish was starting a new brand of wine, he also faced constraints with attracting new customers.

Complexity academic level
This case can be used in teaching undergraduate and postgraduate students in the introductory session of a financial accounting course. It is designed to approach basic accounting concepts, permitting the class to discuss and focus on the principal thought process of starting a real business and accounting for the transactions as and when they occur rather than only on mathematical computations. The objective of this case study is attained by involving the students in recording various accounting transactions and decisions the winery’s management must take over the time from early plantation to bottling of the wine. Every decision assesses the students’ comprehension of accounting concepts by making them analyze and resolve the accounting issues raised.
Sustainable finance and business risk resilience: a conceptual perspective and suggestions for upcoming research
Authors: Azadda William Newlove , Koomson Samuel , Klutse Senanu Kwasi 
Published: August 2023

Purpose
As public awareness of the concept of sustainable development has increased, a new investor market has appeared. These investors will only make investments in sustainable financial instruments. Yet, how corporate managers can effectively exploit this new financing concept to make their companies risk resilient remains unaddressed. This study, a conceptual research, aims to examine the impact of sustainable finance (SF) on business risk resilience (BR) and the impact of SF on risk management infrastructure (RI). It also addresses the impact of RI on BR and the mediating effect of the former between SF and BR in the corporate world. Finally, this research explores the moderating effect of managerial capability (MC) and firm technology-focused innovation capability (IC) between SF and RI.

Design/methodology/approach
This study incorporates both theoretical and empirical works in the sustainability, innovation, risk management and HRM fields. Afterwards, it constructs a conceptual model alongside suppositions that can be tested in further studies.

Findings
This study proposes that SF will enhance BR and RI. Moreover, RI will promote BR and positively intervene between SF and BR. Furthermore, MC and IC will reinforce the SF–RI impact such that the SF–RI impact will be strengthened for companies whose MCs and ICs are high than low.

Research limitations/implications
This research affords suggestions for researchers in multidisciplinary fields. It reinforces BR and RI by introducing SF, MC and IC as tactical devices. It also serves as a reference point for forthcoming academics to investigate this conceptual model, empirically, in diverse industries worldwide.

Practical implications
Practical lessons for finance, investment and risk managers, as well as corporate investors are discussed.

Originality/value
This study provides a new research model that demonstrates how SF can be exploited to promote BR and build RI. It also shows how RI can bolster BR and how RI can connect SF to BR. This new model also exhibits how MC and IC moderate the impacts of SF and RI. Thus, it attempts to advance existing knowledge and theoretical frameworks.
Filipendula glaberrima Nakai extract inhibits the bacterial infection by induction of HBD2 and HBD3 expression, and reduction of the inflammatory activity
Authors: Nguyen Anh‐Thu , Kim Minho , Kim Ye‐Eun , Kim Hangeun , Kim Ki‐Young 
Published: August 2023

AbstractDefensins and inflammation are innate immune barriers of the body against infectious pathogens. Searching for a compound that can inhibit infectious diseases by affecting human β‐defensin (HBD) and proinflammatory cytokines is the new trend in research to control bacterial infection. The aim of this study is to provide a natural compound, Filipendula glaberrima Nakai extract (FGE), which is able to induce the expression of an antimicrobial defensin as well as reduce inflammation. FGE induced the expression of HBD2 and HBD3 through activating both p38 and NF‐κB signaling pathways. Furthermore, FGE inhibited the expression of TNF‐α and IL‐6 via p38 and NF‐κB pathways in Staphylococcus aureus–stimulated THP1 cells. Injection of FGE alleviated cutaneous erythema and swelling caused by S. aureus injection in mice ears. Taken together, FGE could reduce bacterial infection by inducing the expression of defensin and anti‐inflammatory activity.
Planning from scratch: A new modelling approach for designing protected areas in remote, data‐poor regions
Authors: Ducros Delphine , Devillers Rodolphe , Messager Antoine , Suet Marie , Wachoum Abakar Saleh , Deschamps Clémence , Breme Babakar Matar , Petersen Ib Krag , Kayser Yves , Vincent‐Martin Nicolas , Djimasngar M’Baïti Narcisse , Portier Bruno , Champagnon Jocelyn , Mondain‐Monval Jean‐Yves , Defos du Rau Pierre 
Published: August 2023

Abstract

Human pressure on ecosystems has strongly increased over the last decades and now impacts even the most remote regions. To help mitigate these impacts, it is crucial to designate protected areas in regions that retain a high level of ecological integrity. However, ecological data remain scarce for many such areas, making the systematic design of new protected zones challenging.

Following a request from local managers, we developed an original methodological approach to help design new zoning for a pre‐existing protected area in a remote, data‐poor Sahelian wetland of southern Chad, a vast area rich in biodiversity and exploited by diverse human activities. The method involved first collecting extensive aerial survey data (6252 records) on birds and mammals and then analysing this through a combination of distance sampling and density surface modelling. The biodiversity data, combined with ecological predictors, helped model species distribution layers that were then incorporated with socio‐economic constraints into the systematic conservation planning tool Marxan.

This approach produced an array of protected zoning options that met three levels of conservation objectives set by experts, corresponding to proportions of individuals from given species to protect in the proposed protected area. Frequent exchanges with local managers allowed the analyses to be refined, resulting in seven potential scenarios to be considered for conservation purposes.

Synthesis and applications. In a context of high data scarcity, lack of access and short‐term conservation objectives, this combined approach that optimizes newly obtained data via a suite of modelling tools can facilitate identifying and protecting natural areas in regions most in need of urgent conservation policy.
Differences in trait–environment relationships: Implications for community weighted means tests
Authors: Lepš Jan , de Bello Francesco 
Published: August 2023

Abstract

One of J.P. Grime's greatest achievements was demonstrating the importance of the relationship between the environment and plant functional traits for understanding community assembly processes and the effects of biodiversity on ecosystem functioning. A popular approach assessing trait–environment relationships is the community weighted means (CWMs) method, which evaluates changes in communities' average trait values along gradients, with Grime being among its first practitioners.

Today the CWM method is well‐established but some scholars have criticized it for inflated Type I errors. That is, in some scenarios of compositional turnover along a gradient, CWM tests can provide significant results even for randomly generated traits. Null models have been proposed to correct for such effects by randomizing trait values across species (CWM‐sp). We review different approaches relating traits to the environment within the framework of the accepted dichotomy between species‐level (observations are species) versus community‐level (observations are community parameters) analyses. Between these families of analyses and their combinations, a great variety of methods exist that test different trait–environment relationships, each with different null hypotheses and ecological questions.

In classic CWM tests, the null hypothesis focuses on characteristics of trait distributions at the community level along gradients. The Type I error rate should not be a priori considered inflated when this test is used to identify changes in community trait structure affecting the functioning of communities. Trait changes observed with CWM tests may be accurate, but the interpretation that a specific trait drives turnover may be fallacious. Approaches like CWM‐sp may be more appropriate for testing other ecological hypotheses, such as whether trait–environment relationships are widespread across species. In effect, this moves the ecological focus towards species‐level analyses, that is on the adaptive value of traits and their relation to species niches.

Synthesis. There is no single trait–environment relationship. Species‐level and community‐level analyses, including variants within them, test different relationships with different null hypotheses, such that the potential for inflated error rates can be misleading. Using a spectrum of methods provides a comprehensive picture of the diversity of trait–environment relationships.