bluuebunny/crossref_metadata_2025_split huggingface dataset:
A study on entrepreneurial opportunities in digital health-care post-Covid-19 from the perspective of developing countries
Authors: Khandelwal Rahul , Kolte Ashutosh , Rossi Matteo 
Published: March 2022

PurposeThe Covid-19 pandemic encourages organized structures across health sectors to react to the outbreak and digital health technologies have been identified as promising pillars to respond to the outbreak across the globe. The purpose of this study is to address the scoping review aimed at identifying the innovative entrepreneurial opportunities in digital health-care ecosystems. The study highlights the barriers to digital health in developing countries. The study is a forum for the introduction of entrepreneurship prospects in the Indian sense through other foreign readers in developing countries.Design/methodology/approachThis archival study highlights topical literature to explore successful ways of improving market potential in developed countries with respect to digital health. The research offers insights into how a digital health environment could be applied, provides a trajectory that concentrates on key skills and a creative approach.FindingsHealth service providers require developing their competency and skills to accelerate and enhance their entrepreneurial opportunities. Social network dynamics analyzes are particularly helpful in modeling pandemic trends and in tracking post-pandemic digital health needs. The acceptability of digital solutions has to be confronted across developing countries especially in rural areas and a collective public health benefit in form of entrepreneurship to serve the society.Research limitations/implicationsThe research temporarily indicates a creative solution to entrepreneurship in developed countries that can be applied in today’s digital arena.Originality/valueTo raise public understanding of the advantages of digital health systems in developed regions, health education and promotion campaigns should be focused. The idea analysis can be useful benchmarks for policymakers rather than digital health jurisdictions. The post-pandemic provides developed countries a great opportunity for advanced technology to expand connectivity and networking to digital health entrepreneurship.
The role of impulsivity and financial satisfaction in a moderated mediation model of consumer financial resilience and life satisfaction
Authors: Tahir Muhammad S. , Shahid Ahmad Usman , Richards Daniel W. 
Published: March 2022

PurposeThis paper explores the direct and indirect associations between financial resilience and life satisfaction, using the moderation of non-impulsive behavior and mediation of financial satisfaction.Design/methodology/approachThe authors analyze the Australian household dataset, named the Household, Income and Labour Dynamics in Australia (HILDA) Survey, to meet the objectives of this paper. Furthermore, the authors use the PROCESS Models 4 and 7 to test the mediation and the combined moderated mediation relationships, respectively.FindingsThe authors find the complete mediation of the relationship between financial resilience and life satisfaction by financial satisfaction. Also, this study finds that both financial resilience and non-impulsive behavior positively contribute to financial satisfaction, which is positively associated with life satisfaction.Practical implicationsThis research supports the need for consumers to build emergency funds as financial resilience is related to consumer well-being. This research also recommends that impulsive behavior should be addressed by the personal finance curriculum and financial advisors.Originality/valueThis research contributes by showing that financial satisfaction is an important predictor of consumers’ well-being. The ability to access financial resources, which increases for non-impulsive consumers, is associated with increased life satisfaction but only via financial satisfaction.
A supervised data mining approach for predicting comment card ratings
Authors: Tanrısevdi Abdullah , Öztürk Gözde , Öztürk Ahmet Cumhur 
Published: March 2022

PurposeThe purpose of this study is to develop a review rating prediction method based on a supervised text mining approach for unrated customer reviews.Design/methodology/approachUsing 2,851 hotel comment card (HCC) reviews, this paper manually labeled positive and negative comments with seven aspects (dining, cleanliness, service, entertainment, price, public, room) that emerged from the content of said reviews. After text preprocessing (tokenization, eliminating punctuation, stemming, etc.), two classifier models were created for predicting the reviews’ sentiments and aspects. Thus, an aggregate rating scale was generated using these two classifier models to determine overall rating values.FindingsA new algorithm, Comment Rate (CRate), based on supervised learning, is proposed. The results are compared with another review-rating algorithm called location based social matrix factorization (LBSMF) to check the consistency of the proposed algorithm. It is seen that the proposed algorithm can predict the sentiments better than LBSMF. The performance evaluation is performed on a real data set, and the results indicate that the CRate algorithm truly predicts the overall rating with ratio 80.27%. In addition, the CRate algorithm can generate an overall rating prediction scale for hotel management to automatically analyze customer reviews and understand the sentiment thereof.Research limitations/implicationsThe review data were only collected from a resort hotel during a limited period. Therefore, this paper cannot explore the effect of independent variables on the dependent variable in context of larger period.Practical implicationsThis paper provides a novel overall rating prediction technique allowing hotel management to improve their operations. With this feature, hotel management can evaluate guest feedback through HCCs more effectively and quickly. In this way, the hotel management will be able to identify those service areas that need to be developed faster and more effectively. In addition, this review rating prediction approach can be applied to customer reviews posted via online platforms for detecting review and rating reliability.Originality/valueManually analyzing textual information is time-consuming and can lead to measurement errors. Therefore, the primary contribution of this study is that although comment cards do not have rating values, the proposed CRate algorithm can predict the overall rating and understand the sentiment of the reviews in question.
A review on prospective risks and mitigation for oil and gas projects: implication for Indian CGD companies
Authors: Rawat Atul , Gupta Sumeet , Rao T. Joji 
Published: March 2022

Purpose
This study aims to focus on identifying the business risks that cause a delay in the oil and gas projects and suggest the way forward toward the better development of the city gas distribution (CGD) sector in India by suggesting the appropriate mitigation strategies.

Design/methodology/approach
The study is a systematic review of literature on risks causing a delay in oil and gas projects. Comprehensive literature was carried out following a seven-step model to develop an exhaustive list of risk classifications and factors, risk identification methods and strategies to mitigate the risks. Weighted average ranking method is used to identify the top ten risks affecting oil and gas projects.

Findings
This research identifies the top ten risks frequently impacting the oil and gas projects, which are project cost, improper project management, change in economic parameters, currency exchange rate, government regulations and laws, contractor and subcontractors issues, lack of skilled labor, delay in approvals, health and safety issues and force majeure. These risks are primarily responsible for cost overrun and project delay. Additionally, this study recommends the implementation of joint risk management to avoid CGD project delay.

Originality/value
The CGD industry is in the growing stage with many projects under construction. However, there is a lack of research to manage risks in the CGD project. This study contributes to the limited literature available on risk management in oil and gas projects. Additionally, it highlights the need for further research to explore the different risks factors affecting the CGD business and its operations and subsequently develop appropriate mitigation strategies.
A teacher's learning of transforming curriculum reform ideas into classroom practices in lesson study in China
Authors: Zhao Wenjun , Huang Rongjin , Cao Yiming , Ning Rui , Zhang Xiaoxia 
Published: March 2022

PurposeThis study aims to explore how a Chinese lesson study (LS) supports a teacher's learning of transforming curriculum reform ideas into classroom practices.Design/methodology/approachData analyzed in this study included lesson plans, three videotaped research lessons, three audio-taped group meetings, interviews, the teacher's reflection journals and other related materials. Clarke and Hollingsworth's interconnected model of professional growth (IMPG) was adopted as the theoretical and analytical framework for examining the teacher's learning process.FindingsThis study found that teachers can deepen their understanding of innovative curriculum ideas and implement them through an iterative cycle of planning, enactment and reflection in LS. Involving knowledgeable others in the process and reflecting on evidence-based evaluation of students' learning outcomes is crucial for changing the teacher's knowledge, beliefs, attitudes and teaching practices. Theoretical tools, such as learning trajectory, are useful for transforming curriculum reform ideas that teachers find abstract and overly broad into concrete and actionable lesson designs.Originality/valueTheoretically, this study can broaden our knowledge about how the under-studied mechanism of Chinese LS can contribute to helping teachers to transform reform ideas into classroom practices. Practically, this study provides suggestions for researchers and educators to reflect on and improve the effectiveness of teachers' professional development programs in a reform context.
Responses in divergence of opinion to earnings announcements: evidence from American depository receipts
Authors: Shen Fanglin , Guo Quantong , Liang Hongyan , Liu Zilong 
Published: March 2022

PurposeThe purpose of this paper is to investigate the relationship between investors' divergence of opinions and the asset prices of foreign stocks and also examine the effect of home market country-level factors on the influence of divergency of opinions on stock price.Design/methodology/approachThe authors employ panel data estimation with fixed effects to examine the host market response in divergent opinions to the earnings announcements. The paper uses the American Depositary Receipts (ADRs) of 42 countries from 1985 to 2011.FindingsThe authors find a negative relationship between differences of opinions and excess quarterly earnings announcement returns, and investors do process information asymmetrically based on good and bad earnings shocks. In addition, the authors find the negative relationship between divergent opinions and excess earnings announcement returns in ADRs is more pronounced in countries with short-sales restrictions, while other home-market country-level factors – the enforcement of insider trading law, legal origin, investor protection and rating on accounting standard – do not influence the relationship between investors' divergency of opinion and stock returns.Originality/valueThis paper is among the first to bring asymmetric effects on convergence in Miller framework and enhance the understanding of price convergence documented in Miller (1977). In addition, this study incorporates home-market country-level factors in explaining the relationship between investors' divergency of opinions and stock returns.
Overcoming the liability of origin: cross-listing in developed economies as a signal
Authors: Wei Jiang , Zheng Jie , Zuo Yan 
Published: March 2022

PurposeThe purpose of this paper is to investigate the role of cross-listing in overcoming liability of origin (LOO) facing emerging economy corporations (EECs).Design/methodology/approachThis paper takes Chinese firms' cross-listing in Hong Kong and the firms' establishment of international joint ventures (IJVs) with foreign partners as the research setting. This is an empirical study using Heckman's self-selection model as the primary econometric technique and two-stage least square (2SLS) regressions as the supplementary estimation procedure.FindingsCross-listing in developed economies can serve as a signal for EECs to overcome the LOO. In addition, the regional institutional voids of emerging economies (EEs) and state ownership are prominent boundary conditions shaping this effect.Research limitations/implicationsOnly Chinese firms and the firms' cross-listing in Hong Kong are considered for the empirical context as a result of data availability.Practical implicationsThis paper provides a practical solution for EECs whose internationalisation tends to be hindered by the LOO.Originality/valueThis study is of high importance in that it centres on a distinctive and challenging problem faced with EECs—the LOO. Besides, it ascribes this liability to a matter of information asymmetries and explores how cross-listing can serve as a signal to cope with this challenge.
Innovation, trade barriers and exports: evidence from manufacturing firms in ASEAN countries
Authors: Ayob Abu H. , Freixanet Joan , Shahiri Hazrul 
Published: March 2022

Purpose
This study aims to integrate both internal and external factors to examine the effect of innovation and perceived trade barriers on firms’ export activity. In particular, the authors expand the scope of innovation into both technological (product and process) and non-technological (marketing and management) innovation. Furthermore, the authors examine the potential joint effect of perceived customs and trade barriers on firms.

Design/methodology/approach
The authors empirically test the hypotheses by using firm-level data from the World Bank Enterprise Survey during the most recent year available for each ASEAN country, together with both firm- and country-level controls from various data sources. Specifically, the final sample for analysis includes 3,602 firms from Cambodia (100), Indonesia (1157), Laos (99), Malaysia (445), the Philippines (719), Thailand (572) and Vietnam (510).

Findings
First, the results show that firm-specific innovation capabilities (including non-technological of managerial innovation) do matter for explaining export propensity. Furthermore, in contexts in which location-bound advantages are prevalent, the effects of innovation may disappear and further deteriorate performance in the post-entry stage. Second, the findings support the notion regarding the prevalence of country- over firm-specific advantages for the international expansion of companies from ASEAN countries. More specifically, this study holds that innovation does not matter for export intensity and that factors related to the location’s institutions appear to be more important.

Originality/value
First, it acknowledges and examines the effect of not only technological innovation, but also non-technological innovation on export intention. Second, the paper measures the institutional effect at the firm level, rather than as a country-specific factor, to better understand the combined effect of internal and external variables on firms’ export strategy. Furthermore, it performs a cross-country analysis while controlling for other confounding firm and macro factors. Third, the authors test the model on both pre-entry (export propensity) and post-entry (export intensity) stages. Finally, the study responds to calls for research that examines the international competitive advantages of firms from ASEAN countries.
Antecedents and consequences of reliance in the context of B2B brand image
Authors: Kittur Prathamesh , Chatterjee Swagato , Upadhyay Amit 
Published: March 2022

Purpose
This study aims to explore the antecedents and consequences of reliance and its relationship with trust in the context of business-to-business (B2B) branding. The study also explores the above relationships in various B2B contexts.

Design/methodology/approach
Survey data of 135 respondents from different B2B firms was analyzed, and the proposed theoretical model was validated using partial least square structural equation modeling technique followed by multigroup analysis.

Findings
The results suggest that commitment, management capability and innovation capability are positively related with reliance, while trust acts as mediator between commitment–reliance relationships. Moreover, while both reliance and trust lead to B2B brand image, reliance has higher relationship strength. Furthermore, reliance mediates the trust–brand image relationship too.

Research limitations/implications
The paper contributes to the literature of reliance and its role in B2B brand image by providing newer insights about the antecedents and consequences of reliance and its relationship with trust.

Practical implications
The findings provide managers with key insights for creating B2B brand image using reliance and trust by focusing on capabilities and commitment.

Originality/value
To the best of the authors’ knowledge, this is one of the few papers in B2B marketing which focuses on the antecedents of reliance and relative importance of trust and reliance.
Intercultural warrant: deploying cultural warrant ethically
Authors: Choi Inkyung 
Published: March 2022

PurposeThe purpose of this paper is to discuss deployment of cultural warrant in intercultural environment, aiming to better achieve ethical warrant.Design/methodology/approachThis paper synthesizes research on cultural warrant and classification, and uses examples of the Dewey Decimal Classification (DDC) to illustrate cultural warrant in a case of cross-cultural adaptation of bibliographic classification.FindingsThe notion of intercultural warrant was suggested as an operational approach to cultural warrant in the context of intercultural use of Knowledge Organization System (KOS).Research limitations/implicationsThe research focuses on discussions of cultural warrant in the context of intercultural uses of KOS but lacking diverse examples of KOS and beyond (such as descriptive metadata standards).Originality/valueThis paper suggests the development of intercultural warrant as a theoretical view to understand classification systems commonly used worldwide and a path to achieve ethical treatments of cultures in such systems.
Youth entrepreneurial intentions: a cross-cultural comparison
Authors: Bağış Mehmet , Kryeziu Liridon , Kurutkan Mehmet Nurullah , Krasniqi Besnik A. , Hernik Joanna , Karagüzel Ensar Selman , Karaca Volkan , Ateş Çağdaş 
Published: March 2022

Purpose
This paper aims to determine the antecedents that affect higher education students' entrepreneurial intention and awareness in two developing economies (Turkey and Poland) and one transition economy (Kosovo).

Design/methodology/approach
This study uses a quantitative research approach based on a sample of 342 questionnaires. Using SPSS 23, AMOS and Process Hayes, this study tests research hypotheses using explanatory and confirmatory factor analysis, correlation analysis, regression analysis and mediation analysis.

Findings
The findings show that personal attitudes (PA), perceived behavioural control (PBC) and need for achievement (NFA) variables affect students' entrepreneurial intentions and alertness (EIA) in Turkey, Poland, and Kosovo. PA and PBC mediate the impact of NFA on EIA. In addition, analyses show that the country variable does not have a moderator effect on EIA, PA, NFA and PBC variables. The findings reveal that students' perceptions of EIA differ by country.

Research limitations/implications
The sample comes from a university in three countries; therefore, these results cannot be generalised to the entire population. In addition, the study was carried out with a cross-sectional study urging the need for a longitudinal analysis of the data, which may provide better results.

Practical implications
Results can benefit policymakers and higher education administrators for resource planning, organising educational curricula and strategic policy plans for building the entrepreneurial ecosystem.

Originality/value
The originality of this article is that it presents a model to reveal the effect of PA, PBC and NFA variables on EIA in three different countries.
Effects of financial development on mortgage development in Africa: an application of GMM dynamic pooled estimator
Authors: Sare Yakubu Awudu , Davies Ezekiel , Nyeadi Joseph Dery 
Published: March 2022

Purpose
This study purposely re‐examine the mortgage–ﬁnance nexus in Africa.

Design/methodology/approach
This study adopted a panel data set spanning over the period 1995–2017 by using system generalized method of moments (GMM) dynamic pooled estimator developed by Arellano and Bond (1991) and Arellano and Bover (1995) involving 51 African countries.

Findings
The findings discovered that financial development (bank asset) affects mortgage development positively and this effect is highly significant while broad money supply as a measure of financial development impedes mortgage development in Africa. Furthermore, with the introduction of the quadratic term, broad money supply established a U-shaped relationship with mortgage financing indicating that more money in circulation facilitates mortgage development in Africa. However, the shape of the other variables depends largely on the nature of proxy used.

Originality/value
This study is unique in many aspects. First, examining the extant literature on the financial development and mortgage financing nexus, to the best of the authors’ knowledge, no study is cited at the African level with this relationship. Secondly is the empirical model, as it used the system GMM dynamic pooled estimator developed by Arellano and Bond (1991) and Arellano and Bover (1995) to establish whether there is any effect of finance–mortgage nexus.
Diffusing corporate sustainability knowledge with online education: experiences from a massive open online course (MOOC) on sustainable fashion
Authors: Pedersen Esben Rahbek Gjerdrum , Andersen Kirsti Reitan , Diaz Schiavon Ana Lucia 
Published: March 2022

Purpose
This study aims to show how a massive open online course (MOOC) can be used as an educational tool to diffuse specialised corporate sustainability research globally to a broad range of learners.

Design/methodology/approach
This study is based on insights from the design and implementation of a sustainable fashion MOOC. The MOOC was launched in late 2019 on a global learning platform and has recently passed 40,000 enrolments (February 2022). The presentation of the MOOC draws on quantitative and qualitative data available to instructors on the global learning platform.

Findings
Based on the data about the learners and their use of the MOOC, this study demonstrates how MOOC can be a powerful tool to diffuse sustainability research to new groups of learners, who differ significantly from the typical students at business schools and universities in the West. Moreover, the findings also demonstrate how the COVID-19 pandemic had a significant impact on the MOOC’s popularity.

Originality/value
This study provides new empirical evidence on how sustainability research can be translated into online education material of relevance for a broad range of learners from around the world. Moreover, the study also points to the number of practical and structural challenges linked to the future mainstreaming of MOOCs and other types of online education material.