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Most of the studies in entrepreneurship depend on single-source rating methods to collect data on both predictors and criteria. The threat to effect sizes as a result of using single-source ratings is particularly relevant to psychology-based entrepreneurship research. Therefore, the purpose of this paper is to explore the prospects of applying 360-degree feedback to the field of entrepreneurship and to discuss a set of cases regarding how 360-degree feedback may boost effect sizes in entrepreneurship research.

A qualitative review of current literature was performed.

The review indicated that the effect sizes in psychology-based entrepreneurship research are mostly small and the use of single-source ratings is prevalent; some preliminary findings supported the utility of 360-degree feedback in entrepreneurship research; entrepreneurial orientation (EO) research may benefit from 360-degree feedback; and members of top management teams, employees from research and product development, sales agents, retail buying agents, store sales clerks, and consumers are all valid informants to provide ratings of EO.

The present study provided theoretical explanations and used empirical evidence to elucidate how 360-degree feedback may benefit the field of entrepreneurship. In addition, recommendations for future research using 360-degree feedback in entrepreneurship research were offered and discussed. A sample research study on EO using 360-degree feedback was delineated.

The purpose of this study is to develop a method to assess social performance. Traditionally, environment, social and governance (ESG) rating providers use subjectively weighted arithmetic averages to combine a set of social performance (SP) indicators into one single rating. To overcome this problem, this study investigates the preconditions for a new methodology for rating the SP component of the ESG by applying machine learning (ML) and artificial intelligence (AI) anchored to social controversies.

This study proposes the use of a data-driven rating methodology that derives the relative importance of SP features from their contribution to the prediction of social controversies. The authors use the proposed methodology to solve the weighting problem with overall ESG ratings and further investigate whether prediction is possible.

The authors find that ML models are able to predict controversies with high predictive performance and validity. The findings indicate that the weighting problem with the ESG ratings can be addressed with a data-driven approach. The decisive prerequisite, however, for the proposed rating methodology is that social controversies are predicted by a broad set of SP indicators. The results also suggest that predictively valid ratings can be developed with this ML-based AI method.

This study offers practical solutions to ESG rating problems that have implications for investors, ESG raters and socially responsible investments.

The proposed ML-based AI method can help to achieve better ESG ratings, which will in turn help to improve SP, which has implications for organizations and societies through sustainable development.

To the best of the authors’ knowledge, this research is one of the first studies that offers a unique method to address the ESG rating problem and improve sustainability by focusing on SP indicators.

The purpose of the study is to consolidate a set of indicators for assessing design and construction phase strategies for reducing operational greenhouse gas (GHG) emission. They will also estimate the quantity of operational GHG emission and its associated reduction over assessment period.

Five steps framework adopted include defining the purpose of the indicators and selection of candidate indicators. Others are defining the criteria for indicator selection, selecting and defining the proposed indicators. Relevancy, measurability, prevalence, preference, feasibility and adaptability of the indicator were the criteria used for selecting the indicators.

The study consolidated public transport accessibility, sustainable parking space, green vehicle priority, proximity to amenities and alternative modes as indicators for design and construction phase strategies. Transportation accounting and carbon footprint (CFP) and their associated reduction are indicators for operational GHG emission while plan and policy is an indicator for policymakers and stakeholders.

The study shows that providing correct indicators for assessing direct and indirect GHG emission with easy to obtain data is essential for assessment of built environment. Stakeholder can use the indicators in developing new rating systems and researchers as an additional knowledge. Policy makers and stakeholders can use the study in monitoring and rewarding the sustainability and activities of building related industries and organisations.

The study was conducted at the Center for Energy and Industrial Environmental Studies (CEIES) Universiti Tun Hussein Onn Malaysia and utilises existing rating systems and tools, Intergovernmental Panel on Climate Change (IPCC) and GHG protocol reports and guides and several other standards, which are open for research.

The present study aims to examine the attitudes of future Saudi female English as a Foreign Language (EFL) student-teachers toward English native-like pronunciation to investigate their misconceptions about English as a Lingua Franca (ELF).

The researcher used a questionnaire to collect the data for the study.

The results indicate that students and teachers have positive attitudes toward native-like pronunciation. However, the results also show a realization on the participants’ part about the status of ELF. The study concludes that although they have positive attitudes toward native-like English pronunciation, students use ELF and recognize that such pronunciation is not essential for global communication. The study results show that the participants are aware of ELF, filling a vacuum in the literature about how Saudi students perceive ELF. It encourages EFL teachers, syllabus designers, developers and researchers to provide more information on this topic and stresses international communicative ability, as ELF speakers require.

As the study has some limitations that could be addressed in future research, other researchers should address these deficiencies in future studies. One limitation is that the study only involved Saudi female future teachers. Further researchers can investigate male Saudi future EFL teachers. Another limitation is that the study focused on future teachers of English in Saudi Arabia in only one institution. Other Saudi EFL teachers and other Arab future teachers could be further investigated to reject or support the study’s findings. Additionally, a more detailed demographic background could be specified in further research for more comprehensive results. In addition, similar studies could be conducted with participants from different EFL-speaking countries. Another limitation of this study is that it covers the attitudes of EFL future teachers toward native-like pronunciation and indirectly investigates their views on ELF. More research is needed to determine how EFL learners and teachers perceive ELF. The actual use of English globally could become more enlightened with further study.

This study’s findings have implications for instructors, syllabus designers and researchers. The results suggest that EFL instructors, syllabus designers and researchers should focus more on international communicative competence than native-like competence. While designing course materials or teaching, teachers and syllabus developers should be fully aware of the status of ELF. Designers of syllabi should include conversations among speakers from different linguistic backgrounds. Effective communication is a priority. Students should become more familiar with global communication outside the classroom and be prepared to engage in it.

Students should become more familiar with global communication outside the classroom and be prepared to engage in it.

Native varieties of English have gained popularity over the years among EFL teachers and learners. However, researchers have debated the importance of EFL students achieving native-like English proficiency.

This research priority setting partnership (PSP) aims to collaboratively identify the “top ten” research priorities relating to communication and swallowing for children and adults with learning disabilities, across the lifespan in the UK, using a modified James Lind Alliance approach.

A steering group and reference group were established to oversee the PSP. A survey of speech and language therapists (SLTs) resulted in 157 research suggestions. These were further developed into 95 research questions through a multi-stakeholder workshop. Questions were prioritised via an online card-sort activity completed by SLTs, health-care or education professionals and carers. Research questions were analysed thematically. Ten adults with learning disabilities were supported to assign ratings to themes reflecting their prioritisation. The top ten research priorities were identified by combining results from these activities.

The top ten research priorities related to intervention, outcome measurement and service delivery around communication and dysphagia.

To the best of the authors’ knowledge, this is the first UK-wide research PSP on learning disabilities and speech and language therapy across the lifespan. It uses a novel approach to incorporate the preferences of people with learning disabilities in the prioritisation.

The purpose of this paper is to explore the impact of human resource (HR) management practices on achieving competitive advantage through studying the mediating role of employee satisfaction in the context of five-star hotels in Northern Cyprus.

To produce numeric data as well as to test the hypothesis, the researchers employed structural equation modeling and AMOS. The testing included (n=439) questionnaires. The model suggested by the authors examined the tourism sector, and in particular, five-star hotels located in Northern Cyprus.

The main research findings revealed that HR practices had a significant effect on competitive advantage. By comparison, the research findings revealed that the mediator variable had no effect on achieving competitive advantage for five-star hotels in Northern Cyprus.

This study demonstrates originality by responding to the recommendations of prior studies conducted on HR in Northern Cyprus Island. This makes a theoretical contribution to the field, since only Turkey recognizes Northern Cyprus, which makes conducting research on this country a challenge for researchers worldwide. Based on this study’s outcomes, this paper discusses its theoretical and practical implications, as well as recommendations for future research.

The purpose of this paper is to explore how actors subjected to public performance evaluations may “contest commensuration,” i.e. may seek to influence how such ratings and rankings will be construed among important stakeholders.

A qualitative study of press releases, and interviews with department heads, is used as a basis for the analysis.

The empirically derived taxonomy of public responses to a state-initiated performance evaluation of educational programs shows that actors may mobilize an array of commensuration management tactics so as to maintain or improve one’s relative positional status. Such tactics may have at least three different foci, namely, on the comparison object (i.e. on the new grouping of actors), the comparison dimension (i.e. the standardized format for comparison) and the comparison rate (i.e. the rate received), respectively. The authors also find that not only are threats to positional status likely to spur commensuration management tactics, but also the opportunity to exploit a good rate.

The paper augments recent research that has problematized the so-called “reactive conformance thesis” by focusing on how evaluated organizations may directly try to influence external stakeholders through public responses. The study is also one of the first that analytically disentangles how they may skillfully exploit different forms of “plasticity” that are inherent in any type of commensuration.

The purpose of this paper is to investigate the interplay between configuration dimensions (network structure, network flow, relationship governance, and service architecture) of last-mile supply networks (LMSN) and the underlying mechanisms influencing omnichannel performance.

Based on mixed-method design incorporating a multiple embedded case study, mapping, survey, and archival records, this research involved undertaking in-depth within- and cross-case analyses to examine seven LMSNs, employing a configuration approach.

The existing literature in the operations management (OM) field was shown to provide limited understanding of LMSNs within the emerging omnichannel context. Case results suggest that particular configurations have intrinsic capabilities, and that these directly influence omnichannel performance. The study further proposes a taxonomy of LMSNs comprising six forms, with two hybrids, supporting the notion of equifinality in configuration theory. Propositions are developed to further explore interdependencies between configurational attributes, refining the relationship between LMSN types, and factors influencing omnichannel performance.

The findings provide retailers with a set of design parameters for the (re)configuration of LMSNs and facilitate performance evaluation using the concept of fit between configurational attributes. The developed model sheds light on the consequential effects when certain configurational attributes are altered, preempting managerial attention. Given the global trend in urbanization, improved LMSN performance would have positive societal impacts in terms of service and resource efficiency.

This is one of the first studies in the OM field to critically analyze LMSNs and their behaviors in omnichannel retailing. Additionally, the paper offers several important avenues for future research.

This review aims to evaluate the evidence of the impact of COVID-19 on patients with stroke.

The author carried out a review following the recommendations of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) for a review article. PubMed, the Web of Science and CINAHL Plus Full Text were searched from January 2019 to October 2020. Twenty-three studies were included in the final review, incorporating a total of 9,819 stroke patients.

The most commonly reported effects of COVID-19 on patients with stroke were delayed stroke treatment (n = 14 studies), thrombotic, blood and immune system complications (n = 8), increased risk of stroke severity and disability (n = 6), increased mortality (n = 8), elevated D-dimer levels (n = 4), comorbidity and acute respiratory distress syndrome (ARDS) (n = 6) and prolonged hospitalization (n = 4).

COVID-19 has affected patients with stroke in various ways, either directly or indirectly, prior to admission or in hospital. The findings should help guide further investigation of the long-term impact of COVID-19 on patients with stroke and help to establish proper guidelines for the provision of efficient treatment for affected patients.