bluuebunny/crossref_metadata_2025_split huggingface dataset:
Antecedents of Murabaha home financing among Muslim household – an integrated framework
Authors: Chetioui Youssef , Lebdaoui Hind , Belouali Zakaria , Sarea Adel 
Published: May 2024

PurposeThough Murabaha financing experienced substantial growth in several majority-Muslim countries, its market share in the Moroccan banking industry is still very narrow than other conventional banks’ instruments. The current research investigated the ability of an extended theory of planned behavior (TPB) framework to explain the main drivers of attitude and intention to use Murabaha financing among Moroccan households. The moderating effect of Islamic religiosity was also scrutinized.Design/methodology/approachData were collected via a survey of 512 Moroccan consumers and analyzed using the partial least squares (PLS) technique.FindingsFirst, attitude toward Islamic banking products is a key predictor of consumer intention to use Murabaha financing. At the same time, consumers’ attitudes are influenced by Islamic financial literacy, subjective norms, behavioral control and profit and loss sharing. Islamic religiosity was also found to positively moderate the link between attitudes towards Islamic banking (IB) and intention to use Murabaha financing, e.g. positive attitudes toward IB are more likely to convert into an intention to use Murabaha financing among Muslim consumers with higher levels of religiosity.Managerial implicationsTo boost consumers’ intention to use Murabaha financing, Islamic bank managers should consider further investment in advertising to enhance consumers’ awareness about IB products. Islamic banks should also consider digital and social media marketing to increase consumers’ awareness about the products and spread a positive e-WOM with regards to their products. Our findings emphasize the importance of Islamic religiosity in shaping Muslim consumers’ intentions to use Murabaha financing. Islamic banks ought to make sure that Murabaha financing contracts are strictly adherent to and compliant with Shari’ah principles. They should also train their frontline employees on Islamic financing activities so that they can effectively respond to the queries and questions of Murabaha potential consumers.Originality/valueThe study findings contribute to the IB literature by demystifying the key factors shaping Muslim consumers’ intentions to use Murabaha financing. The study also extends the literature by emphasizing Islamic religiosity as a basis for Muslim consumers’ behavior in the context of IB. To the best of our knowledge, this study is among the first to empirically investigate Muslim consumers’ intention to use Murabaha financing in North Africa and the Arab countries.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-10-2022-0680
Factors influencing consumers’ Airbnb use intention: a meta-analytic analysis using the UTAUT2
Authors: Bommer William H. , Roy Sandip , Milevoj Emil , Rana Shailesh 
Published: May 2024

PurposeThis study integrates previous research on the intention to use Airbnb to determine which antecedents provide a parsimonious explanation.Design/methodology/approachMeta-analyses based on 61 samples estimate how 8 antecedents are associated with the intention to use Airbnb. Subsequent analyses utilize meta-analyses to estimate a regression model to simultaneously estimate the relationship between the antecedents and the intention to use Airbnb. Relative weight analysis then determined each antecedent’s utility.FindingsA parsimonious model with only four antecedents (hedonic motivation, price value, effort expectancy and social influence) was nearly as predictive as the full eight-antecedent model. Ten moderating variables were examined, but none were deemed to consistently influence the relationships between the antecedents and the intention to use Airbnb.Practical implicationsRelatively few measures (i.e. four) effectively explain customers’ intentions to use Airbnb. When these measures cannot be readily influenced, alternatives are also presented. Implications for the travel industry are considered and straightforward approaches to increasing users are presented.Originality/valueThis is the first integrative review of customers’ intentions to use Airbnb. We integrate what is currently known about customers’ intentions to use Airbnb and then provide a robust model for Airbnb use intentions that both researchers and practitioners can utilize.
The study of social commerce in Generation Z context: the role of social support and privacy risk
Authors: Tseng Hsiao-Ting , Jia Shizhen (Jasper) , Nisar Tahir M. , Hajli Nick , Shabbir Haseeb 
Published: May 2024

PurposeThe recent proliferation of social media platforms has witnessed a growth in social commerce by using social media to facilitate interactivity between customers and vendors. While emergent studies on social commerce are growing, their focus tends to be on millennials and cross-age groups. Given the growth of digital natives in shaping the online shopping experience of the future, we deemed an application to Generation Z necessary and overdue.Design/methodology/approachWe draw on the existing literature and develop a framework to understand social commerce dynamics for digital natives. We employ PLS and CB-SEM to test our proposed model.FindingsOur findings demonstrate the importance of social commerce information sharing activities in facilitating social support, a sense of warmth and belongingness, and online trust for Generation Z platform users. We also investigate the roles of online trust and perceived risk on intention to purchase and find support for both relationships. Finally, we discuss the findings in terms of theoretical and managerial contributions and conclude the study with limitations and future research directions.Originality/valueThis research is unique by using social commerce theory to explore Gen Z platform users. The finding will contribute to information system literature by expanding the social commerce research stream.
Unveiling key determinants of higher education expenditure in Vietnam: an adaptive LASSO approach in Tobit regression analysis
Authors: Pham Phuong-Thao , Le Thi Thu Huong 
Published: May 2024

PurposeThis paper investigates the key determinants affecting household spending for university degree in Vietnam. This paper serves as empirical evidence for policymakers to select appropriate factors to estimate financial needs for university students in Vietnam.Design/methodology/approachWe employ an innovative variable selection approach with adaptive LASSO for Tobit Regression Model.FindingsThe results suggest income, region and ethnicity play significant roles in determining higher education expenditure at Vietnamese households. Gender-related indicators (such as gender of household head, student’s gender), distance to school, occupations, etc. are empirically insignificant.Originality/valueThis study proposes a data-driven method by interfering regulation and Tobit regression to understand the divergence in higher education spending. Especially, adaptive LASSO was first introduced to identify key determinants of higher education expenditure at household level in Vietnam. It hopes to tackle over-fitting problems of traditional OLS regression in previous literature.
Determinants of older people labour market decision in Ghana
Authors: Opoku Kwadwo , Domfe George , Adu Boahen Emmanuel 
Published: May 2024

PurposeThe purpose of this paper is to examine the prevalence of labour force participation and the factors affecting labour supply among older persons in Ghana. Both the extensive and intensive margins of older persons’ labour supply were analysed.Design/methodology/approachThe paper uses nationally representative samples of household and individual data in 2016–2017 – Ghana Living Standard Survey (GLSS 7) data – for the analysis. Heckman’s sample selection model is used to analyse both the extensive and intensive margins of older persons’ labour supply.FindingsThe study found that older persons in Ghana who are pensioners, widowed, have high levels of education, poor health status and live in urban areas are less likely to participate actively in the labour market. On the other hand, being head of a household, married and owning certain assets increase the likelihood of an older person to work. Furthermore, pensions, household headship and post-secondary education have negative effects on the labour supply as having them make older persons work fewer hours per week compared to their counterparts.Originality/valueThis research is the first study to examine the prevalence of old age employment and factors that affect labour market decisions of older persons in Ghana. It also adds to the limited literature on pension and retirement decisions in developing countries.
Revolutionizing decision support: a systematic literature review of contextual implementation models for electronic health records systems
Authors: Mwogosi Augustino , Shao Deo , Kibusi Stephen , Kapologwe Ntuli 
Published: May 2024

PurposeThis study aims to assess previously developed Electronic Health Records System (EHRS) implementation models and identify successful models for decision support.Design/methodology/approachA systematic review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The data sources used were Scopus, PubMed and Google Scholar. The review identified peer-reviewed papers published in the English Language from January 2010 to April 2023, targeting well-defined implementation of EHRS with decision-support capabilities in healthcare. To comprehensively address the research question, we ensured that all potential sources of evidence were considered, and quantitative and qualitative studies reporting primary data and systematic review studies that directly addressed the research question were included in the review. By including these studies in our analysis, we aimed to provide a more thorough and reliable evaluation of the available evidence.FindingsThe findings suggest that the success of EHRS implementation is determined by organizational and human factors rather than technical factors alone. Successful implementation is dependent on a suitable implementation framework and management of EHRS. The review identified the capabilities of Clinical Decision Support (CDS) tools as essential in the effectiveness of EHRS in supporting decision-making.Originality/valueThis study contributes to the existing literature on EHRS implementation models and identifies successful models for decision support. The findings can inform future implementations and guide decision-making in healthcare facilities.
Is the incumbent crying or laughing: when does the entrant adopt the market expansion entry strategy?
Authors: Wang Shu , Liu Dun , Nie Jiajia 
Published: May 2024

PurposeIt is only logical that a firm aims to make a profit after entering the market. However, some firms enter the market with the goal of market expansion and even burn money to pursue market share, which is counterintuitive in practice. To explore the theoretical foundations behind this rare phenomenon, this paper focuses on discussing the impact of the market expansion entry strategy on the entrant firm and the incumbent firm.Design/methodology/approachUsing a game theory model of a supply chain with an incumbent and an entrant, this paper explores the mathematical conditions for the entrant to adopt either the traditional or the market expansion entry strategy and investigates the incumbent’s benefits and losses under different entry strategies.FindingsThe results show that when the market-expansion effect and the selling price ceiling are moderate, the entrant firm always adopts the market expansion entry strategy, and the incumbent firm obtains a free ride from the entrant firm and benefits from it. The entire industry profits and the industry consumer surplus are increased. In particular, we further investigate the cases in which the incumbent firm has a first-mover advantage or there is a troublesome cost, and the results confirm the aforementioned conclusions.Originality/valueBy considering market share as the entrant’s goal, this paper contributes to the dual-purpose literature. Moreover, based on the model’s mathematical results, this paper offers relevant management insights for the entrant and its stakeholders in the e-commerce platform.
Time-frequency connectedness between electricity prices in Romania and its determinants in the competitive markets
Authors: Georgescu Irina Alexandra , Oprea Simona Vasilica , Bâra Adela 
Published: May 2024

PurposeIn this paper, we aim to provide an extensive analysis to understand how various factors influence electricity prices in competitive markets, focusing on the day-ahead electricity market in Romania.Design/methodology/approachOur study period began in January 2019, before the COVID-19 pandemic, and continued for several months after the onset of the war in Ukraine. During this time, we also consider other challenges like reduced market competitiveness, droughts and water scarcity. Our initial dataset comprises diverse variables: prices of essential energy sources (like gas and oil), Danube River water levels (indicating hydrological conditions), economic indicators (such as inflation and interest rates), total energy consumption and production in Romania and a breakdown of energy generation by source (coal, gas, hydro, oil, nuclear and renewable energy sources) from various data sources. Additionally, we included carbon certificate prices and data on electricity import, export and other related variables. This dataset was collected via application programming interface (API) and web scraping, and then synchronized by date and hour.FindingsWe discover that the competitiveness significantly affected electricity prices in Romania. Furthermore, our study of electricity price trends and their determinants revealed indicators of economic health in 2019 and 2020. However, from 2021 onwards, signs of a potential economic crisis began to emerge, characterized by changes in the normal relationships between prices and quantities, among other factors. Thus, our analysis suggests that electricity prices could serve as a predictive index for economic crises. Overall, the Granger causality findings from 2019 to 2022 offer valuable insights into the factors driving energy market dynamics in Romania, highlighting the importance of economic policies, fuel costs and environmental regulations in shaping these dynamics.Originality/valueWe combine principal component analysis (PCA) to reduce the dataset’s dimensionality. Following this, we use continuous wavelet transform (CWT) to explore frequency-domain relationships between electricity price and quantity in the day-ahead market (DAM) and the components derived from PCA. Our research also delves into the competitiveness level in the DAM from January 2019 to August 2022, analyzing the Herfindahl-Hirschman index (HHI).
Barriers to public sector innovation in Switzerland: A phase‐based investigation
Authors: Singler Sebastian , Guenduez Ali A. 
Published: May 2024

AbstractInnovation processes are crucial to modernizing business processes, products, and institutional arrangements in the public sector. However, many attempts at innovation in this area fail. Previous research has identified various barriers, yet little is known regarding which might manifest during the various phases of the innovation process. In this study, we analyse the barriers to public sector innovation from a process perspective, using the policy cycle as an analytical framework. We conducted qualitative interviews (n = 22) with Swiss practitioners to explore barriers to public sector innovation in individual phases of the innovation process. Thus, this study contributes to a better understanding of the barriers that can impede a successful public sector innovation process by shedding light on the barriers’ dynamics and differences at the national and regional levels.Points for practitioners
Public sector innovation (PSI) barriers often require public sector organisations to follow a professional innovation management approach.
Reluctance to connect and insufficient and/or unclear room to manoeuvre appear to be the most critical barriers, likely resulting from the substantial complexity of the context.
PSI barriers show different levels of prevalence in each phase of the innovation process. It is crucial to address barriers in each stage appropriately. Understanding the prevalence of barriers in each phase will help with determining the appropriate strategy.
Barriers must be considered throughout innovation process, without neglecting any phase. This requires a strategic and long‐term perspective on innovation management.
A silver lining to a busted forecast? Building relationships after the storm through humanising messages
Authors: Atwell Seate Anita , Liu Brooke Fisher , Kim Jiyoun , Lee Saymin , Hawblitzel Daniel 
Published: May 2024

AbstractGrounded in the quiet weather communication typology, we conducted two between‐subjects experiments comparing humanising to organisational voice messages in predicting disaster organisation‐public relationships, publics' message passing intentions, and publics' community resilience perceptions in the U.S. tornado context. Study 1 examines these relationships in the missed event context, where a tornado was not forecasted, but occurred. Study 2 examines these relationships in the false alarm context, where a tornado was forecasted, but did not occur. Results show differing processes across the two studies, with Study 1 results showing direct message effects, but no indirect effects. Study 2 results show indirect effects of the experimental condition on the outcomes via perceptions of conversational human voice. The discussion extends the quiet weather communication typology by theorising how context influences message strategy effectiveness.
Research, analytics and intelligence in issues and crises
Authors: LaVail Kate , DiRusso Carlina , Voges Taylor 
Published: May 2024

AbstractToday, corporate crises inherently pose a threat to brand reputation. Multiple stakeholders, online influence and the interconnectedness of reputation with major social issues raise the stakes for crisis teams. The level of complexity has perhaps never been so great, and with it, the need for data‐driven decision‐making. In practice, research, analytics, and intelligence experts are full members of corporate risk and crisis teams from planning, to response, to evaluation. These professionals develop the insights to fuel smart, timely decision‐making by surfacing insights to ameliorate crises. Additionally, they are responsible for measuring and evaluating progress and performance improving the brand's readiness for future issues. Insights, intelligence and performance measures drive conclusions necessary to determine what, if any, brand damage has occurred, how to fix it, and how to prepare better for the next time.
The effects of grassland degradation on the genetic structure of a small mammal
Authors: WANG Zaiwei , MARTIN Amy , BRUNTON Dianne , GRUETER Cyril C. , QU Jiapeng , HE Jin‐Sheng , JI Weihong , NAN Zhibiao 
Published: May 2024

AbstractGrassland degradation is challenging the health of grassland ecosystems globally and causing biodiversity decline. Previous studies have demonstrated the impact of grassland degradation on the abundance and behavior of small mammals. Little is known about how it affects the genetic structure of gregarious mammals in the wild. This study explores the effects of grassland degradation on the genetic structure of a small burrowing mammal, plateau pika (Ochotona curzoniae). We used nine microsatellite loci to analyze the genetic diversity and genetic differentiation between colonies and genetic relatedness between individuals within the colony. We found that pikas in severely degraded grasslands had a significantly higher genetic diversity within colonies, a higher level of gene flow between colonies, and a lower genetic differentiation between colonies compared to pikas in less degraded grasslands. Individuals within colonies had a significantly lower genetic relatedness in severely degraded grasslands than in less degraded grasslands. This study has provided potential evidence of a significant impact of grassland degradation on the genetic structure of pikas, which has caused a breakdown of their kin‐selected colony structure.
Effects of a forested state park on stream nutrient concentrations in an agriculturally dominated watershed in the U.S. Midwest
Authors: Farthing Tessa , Rintsch Eileen , Larson Owen , Grudzinski Bartosz P. , Fisher Thomas J. , McCarty Jessica L. 
Published: May 2024

AbstractAgricultural land cover in the U.S. Midwest is a major source of nutrient pollution that has led to impairment of stream water quality. This study examines the impact of a forested state park on nutrient concentrations within an agriculturally dominated watershed. Water samples were collected over a 2‐year study period from eight stream sampling sites along four creeks and processed for total nitrogen (TN), nitrate (), total phosphorus (TP), and orthophosphate (). Hydrology, channel morphology, and remotely sensed land cover and vegetation data were also collected and analyzed within the study area. Results indicate that water quality responses to a forested state park vary between TN, , TP, and , and water quality variables are uniquely influenced by watershed and stream characteristics. The greatest water quality benefits most frequently occurred within the two smallest study streams with the greatest residence times and proportion of watershed areas within the forested state park. Overall, the greatest improvements to water quality occurred during periods of low stream discharge and when riparian vegetation was greenest. The results of this study suggest that conservation of forested areas within agriculturally dominated watersheds can provide water quality improvements in the U.S. Midwest. Targeting watersheds that drain small streams with long residence times for conservation may be most beneficial to improving water quality.
Do higher global oil and wheat prices matter for the wheat flour price in Lebanon?
Authors: Karaki Mohamad B. , Neaimeh Andrios 
Published: May 2024

AbstractThis article investigates the effect of global oil and wheat prices, and local price shocks on the real price of wheat flour in Lebanon. We estimate a structural vector autoregressive model with exogenous variables (SVARX) using Bayesian methods. We then compute the impulse response functions and find that global commodity price shocks play a trivial role. Meanwhile, local gasoline price and wheat flour price‐specific shocks trigger large increases in the Lebanese wheat flour price on impact. Furthermore, since 2020, local gasoline price and wheat flour price‐specific shocks have contributed the most to the historical variation in the Lebanese wheat flour price.