bluuebunny/crossref_metadata_2025_split huggingface dataset:
Understanding travellers’ reactions to robotic services: a multiple case study approach of robotic hotels
Authors: Çakar Kadir , Aykol Şehmus 
Published: December 2020

PurposeThe purpose of this paper is to investigate travellers’ behaviour and examine their reactions to high-tech hotels offering robotic services to customers.Design/methodology/approachData were gathered from user-generated content within the context of a qualitative research method by analysing the online narratives of travellers at TripAdvisor who visited robotic hotels. Data analysis was realised through content analysis, which revealed various themes and categories of traveller behaviour and reactions to technology.FindingsResults show that robotic services significantly improve the quality of service offered to travellers, while positively affecting travellers’ intention to revisit robotic hotels within the context of customer engagement behaviours.Research limitations/implicationsThe results of the present research reveal that the introduction of new technologies in the service industry, such as the robotic butler, can have considerable effects on guest behaviour and attitudes. This field has emerged as a new sub-dimension of customer engagement.Practical implicationsThe use of robots will most likely enhance experiences through interaction between customers and robots. Additionally, in cases where social distancing is required, the use of robots in the hospitality and tourism industry may increase the mobility of people wishing to travel by applying social distancing through use of robots in services.Originality/valueThe study contributes to the extant literature by identifying the concept of adoption as a sub-dimension deriving from human–robot interaction, thus generating the novelty of the research.
An overview of quantitative instruments and measures for impact in coproduction
Authors: MacGregor Stephen 
Published: December 2020

PurposeThe purpose of this paper is to examine the quantitative measurement tools used in fields of study related to coproduction, as an approach to mobilizing knowledge, in order to inform the measurement of impact.Design/methodology/approachAn overview methodology was used to synthesize the findings from prior instrument reviews, focusing on the contexts in which measurement tools have been used, the main constructs and content themes of the tools, and the extent to which the tools display promising psychometric and pragmatic qualities.FindingsEight identified reviews described 441 instruments and measures designed to capture various aspects of knowledge being mobilized among diverse research stakeholders, with 291 (66%) exhibiting relevance for impact measurement.Research limitations/implicationsFuture studies that measure aspects of coproduction need to engage more openly and critically with psychometric and pragmatic considerations when designing, implementing and reporting on measurement tools.Practical implicationsTwenty-seven tools with strong measurement properties for evidencing impact in coproduction were identified, offering a starting point for scholars and practitioners engaging in partnered approaches to research, such as in professional learning networks.Originality/valueCurrent quantitative approaches to measuring the impacts of coproduction are failing to do so in ways that are meaningful, consistent, rigorous, reproducible and equitable. This paper provides a first step to addressing this issue by exploring promising measurement tools from fields of study with theoretical similarities to coproduction.
The dual effect of foreign competition on emerging market firms' internationalization
Authors: Chen Hongquan , Zeng Saixing , Wu Chongfeng , Fu Haiping 
Published: December 2020

PurposeThe authors develop a theoretical framework of how foreign competition in a firm's home country jointly interacts with other environmental factors to influence the internationalization pace. This study moves beyond the debate on whether foreign competition promotes or inhibits the internationalization pace by unpacking the nature of pace across strategic and operational dimensions. By differentiating the internationalization paces of market scope and international commitment, the study results show that foreign competition has a positive effect on the former and a negative effect on the latter. This indicates that the determinants of different paces are conditional upon the different knowledge types among foreign competitors.Design/methodology/approachUsing a panel data set of Chinese construction corporations over the period from 2009 to 2015, the authors extend previous research on the effect of home country environment on internationalization behavior in an emerging economy by examining the effects of the interplay between foreign competition in home country and industrial contexts. The authors also explore the moderating effect of subnational institutions on the relationship between foreign competition and internationalization pace. They use a Poisson model and a GEE model to examine the main effects and moderating effects involved.FindingsThe results indicate that industry dynamism strengthens the positive effect of foreign competition and the pace of market scope, while industry munificence weakens the negative effect of foreign competition and the pace of international commitment. The authors’ findings support the coexistence of “pushing” and “pulling” effects of environmental factors from a firm's home country. The authors extend the argument of “institutional escapism” by focusing on subnational institutions. They show that firms located in a region with a low level of marketization are more likely to respond by accelerating the pace of their international expansion to escape from their home country.Originality/valueThe authors’ findings have implications for practitioners and policymakers working with emerging market firms (EMFs). The authors suggest that local governments should consider building high-quality institutions that can reduce the possibility of investment opportunities escaping EMFs. The authors’ findings indicate that international knowledge from foreign competitors may also assist EMFs in understanding more about the cultural environment before entering host countries, although it cannot help them to resolve cultural uncertainty when operating in host countries. Hence, managers should carefully evaluate their competitiveness before they decide to engage in global competition at an accelerated rate.
International market selection: an application of hybrid multi-criteria decision-making technique in the textile sector
Authors: Vanegas-López Juan Gabriel , Baena-Rojas Jose Jaime , López-Cadavid Diego Alejandro , Mathew Manoj 
Published: December 2020

Purpose
The selection of an international market (IMS) is a prime factor in the success and growth of a company. Therefore, the purpose of this study is to consolidate and apply a systematic methodology that contributes toward the evaluation of international markets and promotes entry into the export market of Antioquia’s textile companies.

Design/methodology/approach
Through a systematic literature review, the criteria and sub-criteria involved in the IMS process are identified and a total of 5 general criteria and 23 sub-criteria are selected. A hybrid approach is used to address the gap. In total, a multiple case study of 11 companies from different range of export values are selected. Data analysis is conducted using two multiple criteria decision-making (MCDM) models, namely, the analytic hierarchy process for weighting the factors and the technique for order of preference by similarity to the ideal solution for the country selection ranking.

Findings
The results demonstrate the applicability of the hybrid MCDM technique to improve IMS decision-making in the textile sector and other sectors. It is found that Canada, Belgium and the UK are the best destinations for textile exports with a selection score of 0.7716, 0.7488 and 0.7337, respectively. The sub-criteria belonging to the dimensions of trade barriers, economic factors and costs are the main factors affecting the export of a textile-clothing product.

Research limitations/implications
The possibility of achieving a generalized result through this case study is not possible, but the methodological application carried out is a novel for the selection of markets in the Colombian case and within the literature available in the domain.

Practical implications
From the managerial point of view, firms associated with trade have a broader vision when looking for new markets. Emerging entrepreneurs can equip themselves to enter the international market. Practitioners and policymakers can also use this methodology, which will allow them to evaluate new markets to outline promotional strategies for positioning products abroad.

Social implications
To facilitate the selection of international markets for enterprises.

Originality/value
The contribution of the study is twofold. First, the combination of techniques will allow wider support for the selection of markets and act as a decision support system. On the other hand, this is the first time that such a methodology is used for IMS in the exporting sector not only in Colombia but also in Latin America. Finally, the detailed methodological process described in the study allows both academicians and decision-makers to replicate the study in other contexts and scenarios.
The role of internationalization in entrepreneurial orientation-performance link: empirical study of SMEs in a developing nation perspective
Authors: Dadzie Zaynab , Agyapong Ahmed , Suglo Abdulai 
Published: December 2020

PurposeThis study aims to examine the mediating role of internationalization in the relationship between the dimensions of entrepreneurial orientation (EO) and performance, empirical study of small and medium scale enterprises (SMEs) in a developing nation.Design/methodology/approachThe study uses a sample of 158 exporting SMEs based in the sub-Saharan developing economy, Ghana. The use of hierarchical regression (ordinary least square analysis) was used by the researcher to assess the suggested model of the study.FindingsLargely supporting the conjectural predictions, the study indicates that EO positively and significantly influences performance; internationalization fully mediates the relationship between innovativeness and performance of export firms; internationalization fully mediates the relationship between risk-taking and performance of export firms; and finally, internationalization partially mediates the relationship between competitive aggressiveness and performance of export firms. Managers are, therefore, encouraged to strategically develop both their EO and internationalization, as the study has confirmed that EO has both a direct and indirect relationship with performance.Originality/valueThis study integrated a resource-based view of the firm and international entrepreneurship theory as a theoretical foundation. Theoretically, internationalization’s mediating role reveals the relevance of this construct in the linkage between entrepreneurial orientation and firm performance. Furthermore, the study extends the entrepreneurial orientation concept to the international business literature by estimating and testing models of the mediating link between entrepreneurial orientation and performance. Moreover, the study seeks to broaden the knowledge of entrepreneurial orientation and its relationship with performance in small and medium businesses. The study further extends the limited studies on performance, driven by entrepreneurial orientation and internationalization in a developing nation (Ghanaian) context. This paper besides seeks to highlight the impact of entrepreneurial orientation on performance when channeled through internationalization. The study also reveals the dimensions of entrepreneurial orientation to be important antecedents of internationalization, in attempts at unearthing the critical predictors of firm performance, especially those of international characteristics.
The impact of macroeconomic variables on the budget deficit in Bangladesh: an econometric analysis
Authors: Alam Md. Mahbub , Sadekin Md. Nazmus , Saha Sanjoy Kumar 
Published: December 2020

PurposeThis paper aims to investigate the impact of selected macro-economic variables like real effective exchange rate (REER), GDP, inflation (INF), the volume of trade (TR) and money supply (M2) on-budget deficit (BD) in Bangladesh over the period of 1980–2018.Design/methodology/approachBy using secondary data, the paper uses the Vector Error Correction Model (VECM) and Granger Causality test. Johansen’s cointegration test is used to examine the long-run relationship among the variables under study.FindingsJohansen’s cointegration test result shows that there exists a positive long-run relationship of selected macroeconomic variables (real effective exchange rate, inflation, the volume of trade and money supply) with the budget deficit, whereas GDP has a negative one. The short-run results from the VECM show that GDP, inflation and money supply have a negative relationship with the budget deficit. The Granger Causality test results reveal unidirectional causal relationships running from BD to REER; TR to BD; M2 to BD; GDP to REER; M2 to REER; INF to GDP; GDP to TR; M2 to GDP and bidirectional causal relationship between GDP and BD; TR and REER; M2 and TR.Originality/valueBangladesh has been experiencing a budget deficit since 1972 due to a decline in sources of revenue. This study contributes to the empirical debate on the causal nexus between macroeconomic variables and budget deficits by employing VECM and Granger Causality approaches.
Coaches' views on how to develop shared leadership
Authors: van Dalfsen Gerrit , Van Hoecke Jo , Westerbeek Hans , Bosscher Veerle De 
Published: December 2020

PurposeThe purpose of this paper is to investigate coaches' views on developing leadership and shared leadership capacity in particular in competitive youth football.Design/methodology/approachThis qualitative examination focusses on the leadership philosophy of ten male coaches at the sub-elite competitive level in youth football in The Netherlands and applies the theory of shared leadership to examine coaches' views on developing leadership capacity.FindingsOnly few coaches have a clear philosophy on the development of leadership in general and/or shared leadership in particular. Most coaches do not have a distinct view on how to involve players in the team processes. Shared leadership development in youth teams occurs occasionally but can be implemented more intentionally.Research limitations/implicationsAlthough this study lacks generalizability, coaches' views are required in understanding how shared leadership is to be developed in youth sport.Practical implicationsFor implementing shared leadership in football purposefully, a clear view on the development of youth is required, whereas coaches need to be taught, how to involve the individual players in team processes such as decision-making. In addition, leadership development in sport may have the potential of transfer of skills to other domains.Social implicationsLearning shared leadership at a young age by athletes can have a positive influence on relationships in teams on micro-level and might have an impact on meso-level within a football club because of its social constructionist approach.Originality/valueThis study is one of the first to apply shared leadership at the micro-level of competitive youth football making use of football coaches' view.
Psychological burden of psoriatic patients in a German university hospital dermatology department
Authors: Sondermann Wiebke , Fiege Oliver , Körber Andreas , Scherbaum Norbert 
Published: December 2020

AbstractPsoriasis has a strong impact on patients’ lives and is closely linked to psychiatric disorders such as depression, anxiety and substance‐related disorders, especially dependence on alcohol and nicotine. The aim of our study was to systematically assess the psychiatric comorbidity and possible associations between psychological factors, disease severity and dermatology‐related quality of life in psoriatic patients from a high‐need university hospital dermatology department. Consecutive psoriatic patients (new and permanent patients) at the Department of Dermatology, University Hospital Essen, Germany, were asked to fill out a paper‐based questionnaire. In the first part of the questionnaire, baseline demographics, pre‐existing mental disorders and data on substance abuse were collected. In the second part of the questionnaire, mental and physical health was explored using different validated self‐rating tests. The current Psoriasis Area and Severity Index (PASI) was documented by a dermatologist. Patients with signs of mental disorders were offered an appointment with a board‐certified psychiatrist. Between August 2016 and February 2019, 228 consecutive psoriatic patients (138 men [60.5%], 90 women [39.5%]; mean age, 48.3 years [standard deviation, 13.6; range, 18–80]) participated in the study. Approximately 50% of the patients had evidence of suffering from mental health problems, mostly depression and anxiety, as well as alcohol dependence. Patients with a PASI of 3 or more showed a statistically significant reduced Dermatology Life Quality Index (DLQI) and a significantly impaired psychological as well as physical quality of life. DLQI correlated with all psychological test results. The data indicate a significant psychological burden in a tertiary psoriatic population. Our findings underscore the importance of screening psoriatic patients for psychiatric disorders, with a focus on depression, anxiety as well as alcohol and nicotine dependence, in a multidimensional approach involving psychiatrists and psychologists.
A graphical null model for scaling biodiversity–ecosystem functioning relationships
Authors: Barry Kathryn E. , Pinter Gabriella A. , Strini Joseph W. , Yang Karrisa , Lauko Istvan G. , Schnitzer Stefan A. , Clark Adam T. , Cowles Jane , Mori Akira S. , Williams Laura , Reich Peter B. , Wright Alexandra J. 
Published: December 2020

AbstractGlobal biodiversity is declining at rates faster than at any other point in human history. Experimental manipulations at small spatial scales have demonstrated that communities with fewer species consistently produce less biomass than higher diversity communities. Understanding the consequences of the global extinction crisis for ecosystem functioning requires understanding how local experimental results are likely to change with increasing spatial and temporal scales and from experiments to naturally assembled systems.Scaling across time and space in a changing world requires baseline predictions. Here, we provide a graphical null model for area scaling of biodiversity–ecosystem functioning relationships using observed macroecological patterns: the species–area curve and the biomass–area curve. We use species–area and biomass–area curves to predict how species richness–biomass relationships are likely to change with increasing sampling extent. We then validate these predictions with data from two naturally assembled ecosystems: a Minnesota savanna and a Panamanian tropical dry forest.Our graphical null model predicts that biodiversity–ecosystem functioning relationships are scale‐dependent. However, we note two important caveats. First, our results indicate an apparent contradiction between predictions based on measurements in biodiversity–ecosystem functioning experiments and from scaling theory. When ecosystem functioning is measured as per unit area (e.g. biomass per m2), as is common in biodiversity–ecosystem functioning experiments, the slope of the biodiversity ecosystem functioning relationship should decrease with increasing scale. Alternatively, when ecosystem functioning is not measured per unit area (e.g. summed total biomass), as is common in scaling studies, the slope of the biodiversity–ecosystem functioning relationship should increase with increasing spatial scale. Second, the underlying macroecological patterns of biodiversity experiments are predictably different from some naturally assembled systems. These differences between the underlying patterns of experiments and naturally assembled systems may enable us to better understand when patterns from biodiversity–ecosystem functioning experiments will be valid in naturally assembled systems.Synthesis. This paper provides a simple graphical null model that can be extended to any relationship between biodiversity and any ecosystem functioning across space or time. Furthermore, these predictions provide crucial insights into how and when we may be able to extend results from small‐scale biodiversity experiments to naturally assembled regional and global ecosystems where biodiversity is changing.
Quantitative evaluation of species composition dissimilarity within a community and among communities
Authors: Chen Jun , Shiyomi Masae , Huang Daming , Yu Houlin 
Published: December 2020

AbstractIt is often necessary to perform quantitative comparisons and assessments of species composition among plant communities under various land use conditions and landscapes, as well as among plant communities at different stages of restoration or degradation in arid grasslands. In landscapes composed of a number of plant communities, in which many quadrats for a survey are set in each community, the species composition in each quadrat is measured using community variables, such as the presence/absence data (i.e., binary variable), biomass, cover, the number of individuals, or the frequency of occurrences (i.e., quantitative variables) of each species per quadrat. In this study, we defined two types of species composition dissimilarity in vegetation surveys: between different communities and within each community which were calculated based on the species composition of each quadrat, using the Bray–Curtis index. The second type dissimilarity occurs incidentally among quadrats (or micro‐sites) even in a community with a relatively uniform structure. Both dissimilarity measures take values from 0 to 1, where larger values indicate larger dissimilarities, and the quadrat‐to‐quadrat variation in dissimilarity also indicates the degree of heterogeneity in the spatial pattern of species composition. Quantifying dissimilarity between and within communities remains a challenge in ecological applications. We proposed a new model to quantify community dissimilarity and applied this model to a grassland vegetation survey dataset. Quantitative variables resulted in more precise measures of community structure than binary variable. The advantages of our model relative to other broadly used community structure metrics based on the Jaccard and Sørensen indices were discussed.