bluuebunny/crossref_metadata_2025_split huggingface dataset:
“California on the Vistula River?” Cannabis users’ engagement with licit and illicit cannabis markets in Poland
Authors: Los Greg 
Published: October 2024

Purpose
Poland, like many other countries, is experiencing a shift in its drug policy as reflected with the decision of its government to legalise medical cannabis in 2017. This paper aims to explore the engagement of cannabis consumers with legal and illegal markets for cannabis in Poland.

Design/methodology/approach
Data comes from the Polish Ministry of Health and a survey of 571 cannabis users. The questionnaires were posted on Polish Facebook groups consisting of users, and other people interested in science/politics associated with cannabis. The users were asked if they currently use the illegal market to buy cannabis, and if yes then why.

Findings
Most respondents report that they do not engage with the illegal market for cannabis. Those who described themselves as medical users now enjoy a better access to cannabis, but even recreational users are finding ways to use the system. Some, however, continue to use the illegal market for cannabis due to reasons associated with honesty, access, price and quality of cannabis.

Research limitations/implications
Given a convenience sample, generalisable conclusions cannot be made on the impact of the medical cannabis policy on the illegal market for cannabis yet. However, what can be concluded is that increasingly more users are likely opting out for the regulated medical market than the traditional illegal market. This could be associated with an increasing willingness of medical practitioners to prescribe medical cannabis.

Originality/value
Only a handful of articles have been written on the Polish medical cannabis policy. This is the first article to show that the Polish medical cannabis policy has changed very significantly since the early enactment. Very probably contrary to the wishes of the policymakers who wanted to create a stricter model than the one in California, for example, which they named as more permissive one.
Managing proof-of-concept (PoC) programs in public research organizations: a dynamic capabilities perspective
Authors: Tolin Giovanni , Piccaluga Andrea 
Published: October 2024

PurposeThis paper aims to explore how the implementation of gap funding instruments such as Proof-of-Concept (PoC) programs can contribute to developing dynamic capabilities in Public Research Organizations (PROs). The research investigates the processes and practices underlying PoC programs that may provide potential foundations for dynamic capabilities (i.e. organizational microfoundations) in PROs operating within a technology transfer setting.Design/methodology/approachWe conducted an exploratory qualitative study through 37 interviews with the employees of PROs involved in the valorization of 155 technologies within 24 PoC programs. We iteratively triangulated those data with secondary sources.FindingsWe identified four key processes (i.e. management, selection, monitoring and valorization) and their associated practices that act as organizational microfoundations, enhancing the emergence of dynamic capabilities in PROs. We articulated six propositions to advance theoretical understandings about gap funding instruments and dynamic capabilities in technology transfer settings.Originality/valueThis study extends prior research on gap funding instruments by examining the less explored processes and practices underpinning PoC programs, demonstrating their role in enhancing PROs to foster external engagement and adaptation to fast-changing environments. Furthermore, it contributes to dynamic capabilities literature by unpacking those microfoundations that enable PROs to build sensing, seizing and reconfiguring capabilities when interacting with the external environment.
The effects and mechanism of discounting unit price
Authors: Khan Huda , Saeed Muhammad Rashid , Bellman Steven , Lee Richard 
Published: October 2024

Purpose
Supermarket promotions typically use a standard label, which displays the regular price, discounted price and discounted unit price. Visits to supermarkets across multiple countries found that none used a price label that also contains the regular (i.e. pre-discounted) unit price. This study aims to investigate the effectiveness of a dual unit-price label that includes the regular unit price as a reference price, and what underpins its efficacy in enhancing promotion attractiveness.

Design/methodology/approach
The authors executed four studies, supported by three supplemental studies. Study 1 established external validity through a natural instore experiment. Studies 2 and 3 tested the dual unit-price label with different pack sizes and assortment sizes, respectively. Finally, Study 4 tested the underpinning mechanism of the efficacy of the dual unit-price label.

Findings
In Study 1, daily sales records over four weeks showed that dual unit-price label promotions had larger sales volume than standard-label promotions. Study 2 showed a larger pack size, a heuristic cue for greater economy and increased preference for dual unit-price label promotions. Study 3 similarly found that the dual unit-price label was preferred more as cognitive load was increased by assortment size. Finally, Study 4 demonstrated the dual processing of the dual unit-price label, using a conscious preference measure (information provided) and an unconscious implicit attitude test.

Research limitations/implications
Unit-price research has mainly considered a cognitive process. The authors demonstrated the importance of considering a heuristic process.

Practical implications
Supermarkets can use this simple and yet effective tool to improve promotion effectiveness.

Originality/value
This study demonstrates that the dual unit-price label is a new and easy tool to enhance sales promotions, which academic research and managerial practice had never considered previously.
The mediating effect of individual capital in the relationship between entrepreneurship education and social entrepreneurship intentions
Authors: Nguyen Trang Thi Doan , Nguyen Duong Tuan , Huynh Van Ai 
Published: October 2024

PurposeThis study examines the impact of entrepreneurship education on the social entrepreneurship intentions of undergraduate students with a focus on the mediating effects of individual capital, such as human, social and cultural capital.Design/methodology/approachThis study adopted a quantitative approach with data collected from 392 third- and fourth-year students studying at a private university in Vietnam through a self-administered survey. The data were analysed using partial least squares structural equation modelling.FindingsThe results show that entrepreneurship education positively impacts the social entrepreneurship intentions of undergraduate students. Furthermore, this study reveals that social and cultural capital serve as mediators in this relationship, whereas the mediating role of human capital was not supported.Practical implicationsThe study findings highlight the crucial role of higher education institutions in promoting and implementing formal entrepreneurship education. It also emphasises the importance of supporting enhancement of students' individual capital through social and cultural activities to foster their intentions to engage in social entrepreneurship.Originality/valueThis study adds to the current literature on social entrepreneurship intentions by highlighting the significance of entrepreneurship education provided by universities and the roles of individual capital, such as social and cultural capital, in mediating the impact of entrepreneurship education on social entrepreneurship intentions.
Investigating the effects of barriers and challenges on Logistics 4.0 in the era of evolving digital technology
Authors: Caliskan Aylin , Eryilmaz Sanem , Ozturkoglu Yucel 
Published: October 2024

Purpose
This study aims to reveal and prioritize the main barriers and challenges in front of the Logistics 4.0 transformation, which is the extension of Industry 4.0. Also, this study presents a roadmap for a company operating in developing countries to reduce and eliminate challenges and hurdles for each link in their supply chain.

Design/methodology/approach
A two-stage methodology was used in this study. First, a detailed literature review was conducted to identify the barriers to innovations compatible with Industry 4.0. Hence, barriers have been identified, including nine from the literature review. The best–worst method (BWM) is then used to determine these barriers’ weights and order of importance. To implement BWM, two-stage e-surveys are applied to experts.

Findings
The “Managerial and Economic Challenges” dimension is the most important, and “Regulatory and social challenges” is the least essential dimension among the main dimension. Moreover, financial constraints or capitals are the most critical barriers among the sub-barriers. This study gives the reader a comprehensive insight into how detected barriers affect digitalization performance. Therefore, this framework is a roadmap designed with a holistic view to guide manufacturers, logistics parties and even policy and decision-makers.

Originality/value
Theoretically and empirically identifies the potential barriers and challenges in the digital transformation of logistics is already missing at the desired level. From this point of view, to the best of the authors’ knowledge, this study is the first research that determines barriers based on the Logistics 4.0 model with an industrial perspective. One of the most important limitations of this study is that a total of nine dimensions were examined under only three basic barriers. Different alternatives can be identified for future studies.
Effects of Industry 4.0 technologies and servitization on firm performance: evidence from the Pakistani manufacturing sector
Authors: Imran Muhammad , Mustafa Ghulam , Rehman Shafique Ur , Susanto Perengki 
Published: October 2024

PurposeThis study examines the unique effects of Industry 4.0 technologies and servitization on firm performance and explores whether servitization mediates the Industry 4.0 and firm-performance relationship.Design/methodology/approachData were collected from 76 manufacturing firms in Pakistan using an online survey questionnaire. The partial least squares structural equation modeling (PLS-SEM) method was used to test the proposed hypotheses.FindingsAnalysis in SmartPLS revealed significant positive effects of Industry 4.0 and servitization on firm performance and showed that servitization acts as a mediator in the relationship between Industry 4.0 and firm performance.Practical implicationsThis study offers valuable insights for manufacturing firms, particularly in the context of Pakistan, that firms can improve their performance by adopting Industry 4.0 technologies and implementing servitization strategies.Originality/valueDrawing on the practice-based view of firm, this study adds value to the body of knowledge that firms can improve their performance by adopting widely known and transferrable technological and organizational practices like Industry 4.0 and servitization.
The determinants of data use practice for instructional practice in higher education
Authors: Ansyari Muhammad Fauzan , De Witte Kristof , Groot Wim 
Published: October 2024

PurposeAn evidence-based approach to improving instructional practices and student outcomes in data use. It is a systematic process of evaluating and analysing learning problems, collecting and transforming various types of data into instructional decisions, and implementing informed actions to improve instruction and student learning. Since teachers are the main actors in instructional practices, this article reports on a study aimed at predicting the influence of various teachers’ characteristics on the degree of data use practices for instructional purposes.Design/methodology/approachIn this study, we conducted a survey in a developing country to gather primary data. The collected data were analysed using a supervised machine learning approach, focussing on decision tree analysis, to determine the influential factors.FindingsOur investigation identifies pedagogical knowledge, data literacy, content knowledge, knowledge of English for teaching and attitudes towards data as crucial determinants in predicting the intensity of such data use practices. Notably, pedagogical knowledge emerges as the most potent predictor, emphasising its pivotal role in shaping teachers’ frequency of instructional data use practices. Surprisingly, English proficiency does not exhibit a significant influence in this predictive model.Research limitations/implicationsThe findings may not be generalisable to a wider context since this study relied on a relatively small teacher self-reported sample collected through surveys, and, as this study used perception data, this may or may not reflect teachers’ actual knowledge and skills.Practical implicationsBy spotlighting the nuanced interplay between teacher individual characteristics and the practice of data use for instructional improvement, this research contributes to a nuanced understanding of the factors shaping teachers’ engagement with data. Ultimately, it provides a foundation for targeted interventions and strategies aimed at fostering a culture of evidence-based practices to improve instruction and consequently student learning outcomes within educational settings.Social implicationsThis insight holds significant implications for policymakers, educational practitioners and providers of professional development programmes seeking to facilitate effective data use practices for instructional improvement.Originality/valueBy spotlighting the nuanced interplay between teacher individual characteristics and the practice of data use for instructional purposes, this research contributes to a nuanced understanding of the factors shaping teachers’ engagement with data. This study represents an empirical examination of such factors by employing a quantitative approach: a flexible decision tree analysis. This contributes to a growing body of research on factors related to teacher characteristics and much of the research in the field of data use has been done using a qualitative approach.
Role of online health communities in patient compliance: a social support perspective
Authors: Tewari Shuchita Pant , Misra Richa , Nagdev Kritika , Sharma Himani 
Published: October 2024

Purpose
Online health communities (OHC) can transform the healthcare industry, particularly in developing economies. Technology advancement and increased health literacy pave the way for these communities to become powerful tools for empowering patients. The purpose of this study was to empirically validate the linkages between social support and how it overarchingly influences patient compliance. Following social support theory, this study delineates how support from the community affects the patient–physician relationship (PERP) and consequently patient compliance regarding the treatment plan. This study also invents the role of patient trust in an OHC in moderating the relationship between PERP and engagement.

Design/methodology/approach
This paper is based on social support and empowerment theories to investigate the importance of social support in improving patients’ health behaviours and health outcomes via patient empowerment, patient engagement and patient compliance. The authors surveyed users from three Facebook cancer communities in India to collect data. The authors used partial least squares structured equation modelling and necessary condition analysis (NCA) with 265 participants to support the proposed model.

Findings
The result demonstrates that PERP is a crucial factor for patient engagement in OHC, and patient engagement has a significant effect on patient compliance. The results also showed that trust was a significant moderator between PERP and engagement. The NCA analysis shows all the relationships are significant; however, emotional support is not a necessary condition for PERP.

Research limitations/implications
By empowering cancer patients and enabling them to meet their emotional and informational needs through OHCs, the study model can aid in the development of solutions that will improve compliance with their treatment in an emerging economic context. The findings indicate the potential chain reaction of social support and PERP in online cancer health communities. This study also contributes to quantifying the social impacts of online healthcare services and how to enhance the healthcare compliance framework.

Originality/value
This study combines social support and empowerment theory with patient, physician, and technology to provide a fine-grained picture of PERP in OHC. It explains how social support in OHC promotes self-care behaviour. This linkage validation enables readers and the community at large to gain a more nuanced understanding of how social support – through PERP, engagement and trust – enables patient compliance using primary data.
Problem-based learning with library e-resources to enhance student information literacy self-efficacy
Authors: Prabowo Thoriq Tri , Sitthiworachart Jirarat , Hong Jon Chao , Joy Mike 
Published: October 2024

PurposeThis study investigates the effectiveness of problem-based learning (PBL) in information literacy curricula using library e-resources to enhance information literacy self-efficacy (ILSE) of students in two universities in Indonesia, in Java Island (University A) and Sumatra Island (University B).Design/methodology/approachA comparison of the effectiveness of the approach in the two universities forms the focus of the study, which has adopted a single group quasi-experimental design which was conducted in one online teaching-learning session. The authors compared the pre-test and post-test scores of 65 library and information science (LIS) students from both universities.FindingsThe results show that the treatment enhanced ILSE effectively. After the treatment, University A students performed better than those at University B.Research limitations/implicationsThe factors which affected the success of PBL using library e-resources have not been identified in this study, a task for a future qualitative research study.Practical implicationsThis study will both inspire the use of library e-resources in learning activities and promote ILSE.Originality/valueIntegrating PBL with library e-resources provides opportunity to identify the advantages of library e-resources in supporting student ILSE, resulting a better learning achievement.
Asymmetric dependence between the prospect theory value and stock returns in India: a quantile regression approach
Authors: Yadav Manisha , Dixit Gaurav 
Published: October 2024

PurposeMotivated by the evidence highlighting the role of sentiments and cognitive biases in investors' decision-making, this study examines a novel behavioral finance-based asset pricing model incorporating the prospect theory framework in the Indian equity market. Specifically, the study’s primary objective is to investigate the importance of Prospect Theory Value (PTV) in the cross-sectional pricing of stocks.Design/methodology/approachThe empirical findings rely on data taken from NIFTY 500 and BSE S&P 500 stocks, encompassing daily, weekly and monthly observations. The analysis employs diverse statistical techniques, including Ordinary Least Squares (OLS), Fama–Macbeth Cross-section Regressions, Panel Fixed Effect and Quantile Regression.FindingsThe study demonstrates an asymmetric association between PTV and subsequent stock returns. The findings maintain their robustness even when factoring in stock-specific attributes such as market capitalization and book-to-market ratio, market beta and indicators related to lottery-like behavior such as skewness and MAX. This observed pattern persists when analyzing data at various frequencies, including daily, weekly and monthly intervals. Loss aversion behavior dominates among Indian equity investors, contrary to lottery preferences in the US equity market.Originality/valueAs far as the authors are aware, the study is the first to introduce a new behavioral finance-motivated stock return predictor (PTV) in the Indian stock market. The study also marks the pioneering use of a novel method that evaluates the predictability of PTV across various sections of the conditional return distribution using quantile regression.
Model development and heat transfer characteristics in renewable energy systems conveying hybrid nanofluids subject to nonlinear thermal radiation
Authors: Fatunmbi Ephesus O. , Obalalu A.M. , Khan Umair , Hussain Syed Modassir , Muhammad Taseer 
Published: October 2024

PurposeIn today’s world, the demand for energy to power industrial and domestic activities is increasing. To meet this need and enhance thermal transport, solar energy conservation can be tapped into via solar collector coating for thermal productivity. Hybrid nanofluids (HNFs), which combine nanoparticles with conventional heat transfer fluids, offer promising opportunities for improving the efficiency and sustainability of renewable energy systems. Thus, this paper explores fluid modeling application techniques to analyze and optimize heat transfer enhancement using HNFs. A model comprising solar energy radiation with nanoparticles of copper (Cu) and alumina oxide (Al2O3) suspended in water (H2O) over an extending material device is developed.Design/methodology/approachThe model is formulated using conservation laws to build relevant equations, which are then solved using the Galerkin numerical technique simulated via Maple software. The computational results are displayed in various graphs and tables to showcase the heat transfer mechanism in the system.FindingsThe results reveal the thermal-radiation-boost heat transfer phenomenon in the system. The simulations of the theoretical fluid models can help researchers understand how HNFs facilitate heat transfer in renewable energy systems.Originality/valueThe originality of this study is in exploring the heat transfer properties within renewable energy systems using HNFs under the influence of nonlinear thermal radiation.
Financial reporting proprietary costs and financial statements comparability: the interactive role of information asymmetry
Authors: Salehi Mahdi , Miri Hossein , Zimon Grzegorz 
Published: October 2024

Purpose
This paper aims to investigate the relationship between the proprietary costs of financial reporting and the comparability of financial statements with the interactive role of information asymmetry.

Design/methodology/approach
Data were selected from the information of all the listed companies on the Tehran stock exchange from 2011 to 2021, based on 781 observations. A multiple regression model is used to analyze data.

Findings
Results convey a significant relationship between proprietary costs of financial reporting and comparability of financial statements. Furthermore, information asymmetry has a significant impact on the relationship between proprietary costs of financial reporting and the comparability of financial statements.

Originality/value
Unlike previous studies, this study applies future dependent variables and the residual of dependent and independent variables in the additional analyses, which support the primary hypotheses.