bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sustainability and Quality Management: has EFQM fostered a Sustainability Orientation that delivers to stakeholders?
Authors: de Menezes Lilian M. , Escrig-Tena Ana B. , Bou-Llusar Juan C. 
Published: July 2022

PurposeAs a Quality Management (QM) framework, the European Foundation for Quality Management (EFQM) Excellence Model has stakeholder management at its core. In EFQM (2012), based on which assessments were made until 2021, “creating a sustainable future” was a fundamental principle, but how it translated to a Sustainability Orientation and delivered to stakeholders remains questionable. This study aims to investigates the Sustainability Orientation within EFQM (2012) and its associations with Results for stakeholders.Design/methodology/approachLongitudinal assessments of recognized-for-excellence organizations by a partner of EFQM are considered. Using factor analysis, scores on the sub-criteria that defined “creating a sustainable future” are investigated, and a Sustainability Orientation is inferred. Panel regressions and structural equation modeling assess the correlations between Sustainability Orientation and Results. A qualitative analysis follows, where sustainability reports from role-models within this population are text mined to examine whether and how they reflected the guidance in EFQM (2012) concerning “creating a sustainable future”.FindingsDirect and indirect positive associations between the Sustainability Orientation implied by EFQM (2012) and stakeholder-performance are confirmed. Yet, inferences from text mining of reported priorities of role-models of excellence illustrate that EFQM (2012) might have driven different strategies towards sustainability.Originality/valueDespite conceptualizations that the EFQM model embeds a Sustainability Orientation, to the best of the researchers’ knowledge, its existence and likely impact remain to be examined. By combining longitudinal statistical analysis, structural equation models and text mining, consistent insights on the link between Sustainability Orientation and organizational performance are obtained.
How perceived utilitarian and hedonic value influence online impulse shopping in India? Moderating role of perceived trust and perceived risk
Authors: Lavuri Rambabu , Jindal Abhinav , Akram Umair 
Published: July 2022

Purpose
The study aims to explore the impact of perceived utilitarian and hedonic value (PHV) on shopper attitude and impulsive online purchasing using the technology acceptance model’s moderating role of perceived trust and risk.

Design/methodology/approach
Convenience sampling was used to collect primary data from 408 Indian online shoppers, and structural equation modeling was used to analyze the data.

Findings
The results indicated that cognitive absorption improved perceived usefulness (PU) and ease of use. Similarly, perceived ease of use influenced PU and PHV significantly. PU influenced utilitarian value positively. Perceived hedonic and utilitarian values significantly influenced attitude, and shoppers’ online buying attitudes strongly impacted impulsive online shopping. Finally, the trust had shown to substantially moderate shoppers’ attitudes toward impulsive online buying, whereas perceived risk had no such effect.

Practical implications
This research reveals a high degree of hedonic and utilitarian values, as well as low-risk features that might improve consumer attitudes about online impulsive behavior.

Originality/value
This research will aid e-retailers in building new strategies and plans to increase sales volume and strengthen relationships with online customers via the provision of trust and security throughout the purchase process.
Does the COVID-19 pandemic change food consumption and shopping patterns? Evidence from Indonesian urban households
Authors: Toiba Hery , Efani Anthon , Rahman Moh Shadiqur , Nugroho Tri Wahyu , Retnoningsih Dwi 
Published: July 2022

PurposeThis study investigate changes in food consumption and shopping patterns during the COVID-19 pandemic.Design/methodology/approachThe authors collected cross-sectional data from 507 households in three Indonesian cities, i.e. Surabaya, Surakarta and Bogor, via an online survey and analysed the data using non-parametric tests: the U-Mann Whitney test, the Kruskal–Wallis test and the ordered probit model.FindingsThe results indicate that, during the pandemic, people 1) avoided eating out in a restaurant or cafeteria to reduce transmission risk and cooked at home instead; 2) stocked food products to minimise store visits; 3) chose a healthier diet including fruits and vegetables; and 4) wasted less food. These new trends could be linked to the socio-demographics, i.e. age, education, marital status and income level.Originality/valueThis research was conducted during the peak of the COVID-19 outbreak in Indonesia between July and August 2021, so the findings could inform food-related long-term policymaking and responses to a crisis.Peer reviewThe peer review history for this article is available at:https://publons.com/publon/10.1108/IJSE-11-2021-0666.
Being creative under the Covid-19 pandemic crisis: the role of effective inter-organizational relationship management
Authors: Leonidou Leonidas C. , Aykol Bilge , Fotiadis Thomas A. , Marinova Svetla , Christodoulides Paul 
Published: July 2022

PurposeAnchored on the broaden-and-build theory and the circumplex model, the authors develop and test a conceptual model in which satisfaction, influenced by an effective handling of communication, cooperation, conflict, and opportunism, is set as the predictor of inter-partner creativity in the relationship between hotels and their foreign travel agents under the Covid-19 pandemic.Design/methodology/approachThe conceptual model was tested with data collected from 190 randomly selected hotel units located in Greece, using both online and drop-in questionnaire methods. Data were analyzed using SEM analysis.FindingsSatisfaction with the working relationship was found to be enhanced by improving communication and cooperation, as well as by keeping conflict and opportunism at low levels. This was a strong predictor of inter-partner creativity, although less pronounced under high levels of relational distance and rigidity.Research limitations/implicationsThe study should be extended to other country settings, replicated at different levels of crisis severity, and use dyadic data. Additional environmental factors could be used as boundary conditions, while our model could be expanded to include additional drivers and consequences of inter-partner creativity.Practical implicationsTo generate inter-partner creativity, there is a need to maintain high levels of satisfaction through proper communication, enhanced cooperation, conflict minimization, and avoidance of opportunistic actions. Also, to better translate satisfaction into inter-partner creativity, interacting parties should keep distance at low levels, while at the same time demonstrate greater flexibility.Originality/valueThe study unveils the role of effectively managing behavioral factors in inter-firm relationships to develop creative solutions to the Covid-19 crisis challenges, an issue neglected by prior research. The study also sheds light on the contingent effects of distance and rigidity, two important factors moderating relationships under crisis. The study applies for the first time two psychological-based theories, the broaden-and-build theory and the circumplex model, to an international marketing crisis situation.
Strategies for social participation of universities in the local community; perspectives of internal and external beneficiaries
Authors: Bagherianfar Mostafa , Dolati Aliakbar 
Published: July 2022

PurposeSocial participation of university refers to the creation of knowledge and participatory processes with local communities in solving community problems in order to achieve sustainable development. Identifying the university's social participation strategies was the main purpose of the present study.Design/methodology/approachIn order to achieve this aim, the qualitative method was used. The study area is Semnan province and Semnan University. The statistical sample included two groups of internal beneficiaries of the university (including staff, deputies and faculty members of the university) and external beneficiaries of the university (including managers and experts of local organizations, education, province and municipality). The sampling was purposefully performed based on the theoretical saturation criterion, holding an interview with 29 participants. Data analysis was performed in three stages of open, axial and selective coding.FindingsThe results of the research showed that the university can participate with its local community in developing the university vision according to the needs of the local community, holding workshops and scientific conferences, concluding joint research contracts, expert and researcher exchange, environmental leadership training, participatory management and teamwork, indigenous manpower, institutionalizing regional participation, solving community issues and problems, creating associations and non-governmental companies in the community, mission orientation, directing education and research towards solving problems and meeting the real needs of the province according to land management, supervising research activities, conducting comprehensive studies in the field of mineral potentials, organizing workshops for farmers' awareness, monitoring the employment of graduates, creating and developing new fields according to the needs of the province and region, educating citizens and cultural zing to reduce production and segregate household waste, opening the university's social space for the growth and supply of youth, educating the province's handicrafts to housewives, especially in the deprived areas, sensitizing programs in the field of environmental protection, and reviewing educational content based on the community needs.Originality/valueBiosocial and economic policy of universities was another result of the present study. The university intends to make citizens aware of social and environmental problems and to provide the necessary education in the fields of air pollution, soil salinity, drinking water supply, cultivation pattern refinement, agricultural mechanization, and waste and waste management. The university should also promote entrepreneurship among students and faculty members and attract economic resources to the university through innovation and commercialization circles, and develop the province's economic infrastructure in various fields of tourism, agriculture, industry and mining.
Asymmetric long-run effect of exchange rate on bilateral trade balance between USA and China
Authors: Wang Yongqing 
Published: July 2022

Purpose
This paper aims to investigate asymmetric long-run effects of bilateral exchange rate on US trade imbalances with China and to examine if the effects are the same under China’s fixed and managed floating exchange rate systems.

Design/methodology/approach
The authors estimate both linear autoregressive distributed lag (ARDL) model assuming symmetric effect and nonlinear ARDL model assuming asymmetric effect of exchange rate on US trade deficit with China. The authors use data from 1994Q1 to 2005Q2 (under Chinese fixed exchange rate system), from 2005Q3 to 2021Q3 (under Chinese managed floating exchange rate regime), and from 1994Q1 to 2021Q3 (overall data).

Findings
The Chow test indicates 2005Q3 is a structure break point. Further, the results suggest the effects of bilateral exchange rate on US trade deficit with China are not the same under different exchange rate systems. The asymmetric long-run effect of bilateral exchange rate does exist. The results also demonstrate the depreciation of Chinese currency will not significantly affect US trade imbalances with China.

Research limitations/implications
Based on the results, the Chinese Government should embrace a more transparent and flexible exchange rate system. It will not significantly hurt Chinese trade balance, but it will help to reduce the tension between the USA and China.

Originality/value
All previous literature (except two papers) related to the effect of Chinese exchange rate on US trade deficit with China assume the effect is symmetric, and all (except one) use data under different Chinese exchange rate systems. To the best of the authors’ knowledge, this is the first paper that studies the possible asymmetric long-run effect of bilateral exchange rate under different Chinese exchange rate regimes.
Predicting sentiment and rating of tourist reviews using machine learning
Authors: Puh Karlo , Bagić Babac Marina 
Published: July 2022

PurposeAs the tourism industry becomes more vital for the success of many economies around the world, the importance of technology in tourism grows daily. Alongside increasing tourism importance and popularity, the amount of significant data grows, too. On daily basis, millions of people write their opinions, suggestions and views about accommodation, services, and much more on various websites. Well-processed and filtered data can provide a lot of useful information that can be used for making tourists' experiences much better and help us decide when selecting a hotel or a restaurant. Thus, the purpose of this study is to explore machine and deep learning models for predicting sentiment and rating from tourist reviews.Design/methodology/approachThis paper used machine learning models such as Naïve Bayes, support vector machines (SVM), convolutional neural network (CNN), long short-term memory (LSTM) and bidirectional long short-term memory (BiLSTM) for extracting sentiment and ratings from tourist reviews. These models were trained to classify reviews into positive, negative, or neutral sentiment, and into one to five grades or stars. Data used for training the models were gathered from TripAdvisor, the world's largest travel platform. The models based on multinomial Naïve Bayes (MNB) and SVM were trained using the term frequency-inverse document frequency (TF-IDF) for word representations while deep learning models were trained using global vectors (GloVe) for word representation. The results from testing these models are presented, compared and discussed.FindingsThe performance of machine and learning models achieved high accuracy in predicting positive, negative, or neutral sentiments and ratings from tourist reviews. The optimal model architecture for both classification tasks was a deep learning model based on BiLSTM. The study’s results confirmed that deep learning models are more efficient and accurate than machine learning algorithms.Practical implicationsThe proposed models allow for forecasting the number of tourist arrivals and expenditure, gaining insights into the tourists' profiles, improving overall customer experience, and upgrading marketing strategies. Different service sectors can use the implemented models to get insights into customer satisfaction with the products and services as well as to predict the opinions given a particular context.Originality/valueThis study developed and compared different machine learning models for classifying customer reviews as positive, negative, or neutral, as well as predicting ratings with one to five stars based on a TripAdvisor hotel reviews dataset that contains 20,491 unique hotel reviews.
The impact of eWOM source credibility on destination visit intention and online involvement: a case of Chinese tourists
Authors: González-Rodríguez M. Rosario , Díaz-Fernández M. Carmen , Bilgihan Anil , Okumus Fevzi , Shi Fangfang 
Published: July 2022

Purpose
This study aims to investigate the relationships between electronic word of mouth (eWOM) source credibility, perceived risk and information usefulness and how they influence tourists’ destination visit intention and online review involvement.

Design/methodology/approach
Data for this quantitative study were collected via an online survey from 460 participants and analyzed using a partial least squares analysis.

Findings
All four dimensions of eWOM source credibility reduce travelers’ perceived risk associated with destination visits, among which homophily has the greatest influence. Lower levels of perceived risk are associated with higher perceived information usefulness, thus boosting tourists’ eWOM involvement and intention to visit a destination.

Practical implications
Results offer practical implications for how the tourism industry can exploit eWOM as an information source that consumers frequently consult. The results are also valuable for Destination Marketing Organizations, allowing them to determine what type of information promotes positive tourist attitudes and behaviors toward destinations.

Originality/value
To the best of the authors’ knowledge, this study is one of the first studies to examine the interaction between eWOM credibility, perceived risk and information usefulness and their effect on consumer behaviors in the tourism context.
Financial technology and performance in Islamic and conventional banks
Authors: Yudaruddin Rizky 
Published: July 2022

Purpose
This paper aims to examine the impact of financial technology (FinTech) startups on Islamic and conventional banking performance in Indonesia.

Design/methodology/approach
Data were collected from a sample of 124 conventional and Islamic banks in Indonesia from 2004 to 2018. The two-step generalized methods of moments was used to estimate the system model.

Findings
This study finds that FinTech startups have a detrimental effect on bank performance. This study also finds that Islamic banks have low performance compared to conventional banks. However, when FinTech startups interact with Islamic banks, this paper discovers that a greater number of FinTech startups have a positive effect on the performance of Islamic banks, particularly the peer-to-peer lending category. Additionally, this paper finds that FinTech startups improve Islamic banks' performance in both normal and crisis periods.

Practical implications
This paper provides recommendations for Islamic bank management and supervisors to deal with FinTech startups during normal and crisis periods by collaborating with FinTech startups and being willing to adopt cutting-edge financial technology applications.

Originality/value
This paper provides evidence of the impact of FinTech on the performance of Islamic banks, specifically on peer-to-peer lending and payment startup during the crisis and normal periods.
The linear-nonlinear data preprocessing based hybrid (LNDH) models for wind power forecasting
Authors: Ahmadi Mehrnaz , Khashei Mehdi 
Published: July 2022

Purpose
The purpose of this paper is to propose a new linear-nonlinear data preprocessing-based hybrid model to achieve a more accurate result at a lower cost for wind power forecasting. For this purpose, a decomposed based series-parallel hybrid model (PKF-ARIMA-FMLP) is proposed which can model linear/nonlinear and certain/uncertain patterns in underlying data simultaneously.

Design/methodology/approach
To design the proposed model at first, underlying data are divided into two categories of linear and nonlinear patterns by the proposed Kalman filter (PKF) technique. Then, the linear patterns are modeled by the linear-fuzzy nonlinear series (LLFN) hybrid models to detect linearity/nonlinearity and certainty/uncertainty in underlying data simultaneously. This step is also repeated for nonlinear decomposed patterns. Therefore, the nonlinear patterns are modeled by the linear-fuzzy nonlinear series (NLFN) hybrid models. Finally, the weight of each component (e.g. KF, LLFN and NLFN) is calculated by the least square algorithm, and then the results are combined in a parallel structure. Then the linear and nonlinear patterns are modeled with the lowest cost and the highest accuracy.

Findings
The effectiveness and predictive capability of the proposed model are examined and compared with its components, based models, single models, series component combination based hybrid models, parallel component combination based hybrid models and decomposed-based single model. Numerical results show that the proposed linear-nonlinear data preprocessing-based hybrid models have been able to improve the performance of single, hybrid and single decomposed based prediction methods by approximately 66.29%, 52.10% and 38.13% for predicting wind power time series in the test data, respectively.

Originality/value
The combination of single linear and nonlinear models has expanded due to the theory of the existence of linear and nonlinear patterns simultaneously in real-world data. The main idea of the linear and nonlinear hybridization method is to combine the benefits of these models to identify the linear and nonlinear patterns in the data in series, parallel or series-parallel based models by reducing the limitations of the single model that leads to higher accuracy, more comprehensiveness and less risky predictions. Although the literature shows that the combination of linear and nonlinear models can improve the prediction results by detecting most of the linear and nonlinear patterns in underlying data, the investigation of linear and nonlinear patterns before entering linear and nonlinear models can improve the performance, which in no paper this separation of patterns into two classes of linear and nonlinear is considered. So by this new data preprocessing based method, the modeling error can be reduced and higher accuracy can be achieved at a lower cost.
Structure, thermodynamics and information in complex systems
Authors: Usó Doménech José Luis , Nescolarde-Selva Josué Antonio , Lloret-Climent Miguel , Gash Hugh , Segura-Abad Lorena 
Published: July 2022

PurposeThe purpose of this paper is to show that transmission of information and information storage or registration depends on structures. Structures emerge from coordinated sets of constraints. Complex systems depend on their structures to function. The temporal sequence of changes in the levels of the complex system determines its behavior. These three concepts are intimately linked with the environment. Environment, structure, function and behavior form a complex system–environment unit, which is the operational unit of existence for all open complex systems. Therefore, it becomes a point in the directional propagation of the cause, where stimulus environment becomes a Creaon, and then the Creaon becomes a Genon, becoming in turn the response to the experienced environment. The formation of structures is the main phenomenon of evolution. Evolution can also be accepted as free, in the sense that it does not cost additional deaths.Design/methodology/approachMathematical and logical development of the structure and thermodynamics in complex systems.FindingsBased on the above considerations, the authors are going to introduce two fundamental principles in Complex systems Theory: the Matthew Effect and the Principle of Sagan.Originality/valueBut as the authors’ purpose is to give a formal definition of a complex system from a totally theoretical point of view, they establish a relationship between concepts of General Systems Theory, Theory of the Environment, linguistics, Information Theory and thermodynamics.