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1 – 9 of 9This chapter is on positive education in primary schools (including pre-schools), and how programmes that use interventions from positive psychology (PPIs) can have positive…
Abstract
This chapter is on positive education in primary schools (including pre-schools), and how programmes that use interventions from positive psychology (PPIs) can have positive effects (academic and for well-being), on children in this age group (up to 11 years). It explores some of the key challenges of implementing PPIs at younger ages and why, compared to secondary schools, limited studies of PPIs in pre- and primary schools exist. Based on the author’s personal experience of successfully delivering a multiple PPI (mPPI) in a primary school in the United Kingdom, the chapter also presents a case study. In particular, a mPPI known as Hummingbird Primary, adapted from the Hummingbird Project which has successfully been delivered in high schools; see Chapter 3. The case study presents an overview of the mPPI, the impact it had and some of the lessons learned. The chapter concludes with recommendations for educators wishing to implement PPIs in a whole primary school setting.
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Ayşe Şengöz, Beste Nisa Orhun and Nil Konyalilar
Developments regarding the use of artificial intelligence (AI) in transportation systems, one of the important stakeholders of tourism, are remarkable. However, no review thus…
Abstract
Purpose
Developments regarding the use of artificial intelligence (AI) in transportation systems, one of the important stakeholders of tourism, are remarkable. However, no review thus far has provided a comprehensive overview of research on AI in transportation systems.
Design/methodology/approach
To fill this gap, this study uses the VOSviewer software to present a bibliometric review of the current scientific literature in the field of AI-related tourism research. The theme of AI in transportation systems was explored in the Web of Science database.
Findings
The original search yielded 642 documents, which were then filtered by parameters. For publications related to AI in transportation systems, the most cited documents, leading authors, productive countries, co-occurrence analysis of keywords and bibliographic matching of documents were examined. This report shows that there has been a recent increase in research on AI in transport systems. However, there is only one study on tourism. The country that contributed the most is China with 298 studies. The most used keyword in the documents was intelligent transportation system.
Originality/value
The bibliometric analysis of the existing work provided a valuable and seminal reference for researchers and practitioners in AI-related in transportation system.
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Khurram Shahzad and Shakeel Ahmad Khan
The purpose of this study is to identify the impact of online learning on university librarians’ professional development and library services.
Abstract
Purpose
The purpose of this study is to identify the impact of online learning on university librarians’ professional development and library services.
Design/methodology/approach
A mixed-methods study through an explanatory research design was applied to address the study’s objectives. Quantitative data were gathered from 341 librarians working in 221 universities, while qualitative data were gathered from 27 experts working in 21 different universities of Pakistan.
Findings
The findings of the study revealed that online learning has a significant positive impact on the professional development of university librarians. Results revealed that online learning assists in the provision of sustainable, innovative library services in university libraries.
Originality/value
The study has offered a model in light of the study's quantitative and qualitative findings. It contributes to theoretical understanding by expanding the existing knowledge base. It offers managerial insights, enabling the development of policies that foster the professional development of library personnel and the implementation of smart library services.
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Rabbia Aslam Siddiqui, Zulfikar Adamu, Obas John Ebohon and Wajeeha Aslam
The construction industry and its activities harmfully affect the environment. Hence, adopting green building (GRB) practices can be helpful in achieving sustainable development…
Abstract
Purpose
The construction industry and its activities harmfully affect the environment. Hence, adopting green building (GRB) practices can be helpful in achieving sustainable development goals. Therefore, this study aims to identify the factors affecting the intention to adopt GRB practices by extending theory of planned behavior (TPB).
Design/methodology/approach
Using non-probability purposive sampling technique, data was gathered from consultant and contractor engineers in the construction industry through a questionnaire. The analysis was done using partial least square-structural equation modeling technique on a useful sample of 290.
Findings
Findings revealed that the core constructs of TPB [i.e. attitude (AT), subjective norms (SUBN) and perceived behavioral control (PBC)] significantly affect the intention to adopt GRB practices. Moreover, government support and knowledge of green practices (KNGP) were found to be critical influencing factors on AT, SUBNs and PBC. Lastly, the findings confirmed that environmental concerns (ENC) play as a moderating between SUBN and intention to adopt GRB practices, as well as AT and intention to adopt GRB practices.
Practical implications
This study contributes to existing knowledge on GRB, offering evidence base for policy choices regarding climate change adaptation and mitigation in the construction industry.
Originality/value
This study provides insights from the perspective of a developing economy and confirms the applicability of TPB in the adoption of GRB practices. Moreover, this study confirms the moderation role of ENC in between TPB constructs and intention to GRB that is not tested earlier in the context of GRB. This study also confirms that government sustainable support positively affects PBC, and KNGP significantly affects SUBNs.
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Xin Janet Ge, Vince Mangioni, Song Shi and Shanaka Herath
This paper aims to develop a house price forecasting model to investigate the impact of neighbourhood effect on property value.
Abstract
Purpose
This paper aims to develop a house price forecasting model to investigate the impact of neighbourhood effect on property value.
Design/methodology/approach
Multi-level modelling (MLM) method is used to develop the house price forecasting models. The neighbourhood effects, that is, socio-economic conditions that exist in various locations, are included in this study. Data from the local government area in Greater Sydney, Australia, has been collected to test the developed model.
Findings
Results show that the multi-level models can account for the neighbourhood effects and provide accurate forecasting results.
Research limitations/implications
It is believed that the impacts on specific households may be different because of the price differences in various geographic areas. The “neighbourhood” is an important consideration in housing purchase decisions.
Practical implications
While increasing housing supply provisions to match the housing demand, governments may consider improving the quality of neighbourhood conditions such as transportation, surrounding environment and public space security.
Originality/value
The demand and supply of housing in different locations have not behaved uniformly over time, that is, they demonstrate spatial heterogeneity. The use of MLM extends the standard hedonic model to incorporate physical characteristics and socio-economic variables to estimate dwelling prices.
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Jamison V. Kovach, Teresa Cardoso-Grilo, Madalena Cardoso, Sofia Kalakou and Ana Lúcia Martins
This research proposes how Design for Six Sigma (DFSS) provides a complementary approach for business process management (BPM) lifecycle implementation in order to address gaps…
Abstract
Purpose
This research proposes how Design for Six Sigma (DFSS) provides a complementary approach for business process management (BPM) lifecycle implementation in order to address gaps identified in the current literature.
Design/methodology/approach
The mandatory elements of a method (MEM) framework is used to illustrate DFSS's maturity as a process redesign method. The use of DFSS in a BPM context is described through several action research case examples.
Findings
This research specifies the procedure model (order of development activities), techniques, results, roles and information/meta model (conceptual data model of results) associated with using DFSS to address BPM-related challenges. The action research case examples provided discuss the details of implementing BPM using DFSS to design, implement and test redesigned processes to ensure they fulfill the needs of process participants.
Research limitations/implications
While the case examples discussed were performed in only a few settings, which limits the generalizability of their results, they provide evidence regarding the wide range of domains in which the proposed DFSS-BPM approach can be applied and how the tools are used in different contexts.
Practical implications
This research offers a road map for addressing the challenges practitioners often face with BPM lifecycle implementation.
Originality/value
This research provides the first attempt to integrate DFSS as a complementary method for BPM lifecycle implementation.
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Yutaro Inoue and Shinsaku Nakajima
This study aims to investigate the relationship between consumer awareness of Zespri International Limited (Zespri™) and its sales promotion in Japan and the recent expansion of…
Abstract
Purpose
This study aims to investigate the relationship between consumer awareness of Zespri International Limited (Zespri™) and its sales promotion in Japan and the recent expansion of New Zealand (NZ) kiwifruit imported into Japan.
Design/methodology/approach
Tweets mentioning Zespri™ were utilised as a proxy of such awareness. They were first summarised using two text-mining techniques: tf-idf scoring and a co-occurrence network graph. Afterwards, the authors estimated a tri-variate vector autoregression (VAR) model consisting of the net imports of NZ kiwifruit in Japan, unit import price and number of tweets. Additionally, the occurrence frequency of tweets with “Kiwi Brothers”, promotional characters for Zespri™’s sales, was added to the model, and a tetra-variate VAR model was estimated. Finally, Granger-causality tests, an estimation of the impulse response function and forecast error variance decomposition was conducted.
Findings
All these variables were found to Granger-cause each other. Furthermore, a shock in the document frequency of “Kiwi Brothers” significantly affected Japan’s kiwifruit imports from NZ, explaining approximately 20% of future imports. Zespri™’s distinctive sales promotion was, thus, found to contribute in part to the recent increase in NZ’s kiwifruit export to Japan.
Originality/value
This paper is the first to apply text-regression methodology to food consumption research; it contributes to food consumption research by proposing a practical way to combine tweets with outcome variables using a time-series analysis.
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Xenia J. Mamakou, Panagiotis Zaharias and Maria Milesi
The purpose of this study is to explore the interplay between electronic service quality, user experience (UX) and overall customer satisfaction. Additionally, it aims to assess…
Abstract
Purpose
The purpose of this study is to explore the interplay between electronic service quality, user experience (UX) and overall customer satisfaction. Additionally, it aims to assess the suitability of E-S-QUAL and UX metrics within the cultural context of Greece.
Design/methodology/approach
Data were collected from 310 Internet users based on their last online purchase from an e-retail website. To evaluate the conceptual model, the authors used partial least squares structural equation modeling (PLS-SEM).
Findings
The findings of this study validate the scales' reliability and validity in the realm of electronic commerce (e-commerce) in Greece. The findings also emphasize the favorable association between e-service quality and UX with overall satisfaction, while indicating that e-service quality plays a partial mediating role in the relationship between UX and customer satisfaction.
Originality/value
The authors' study enhances the existing theory by introducing a new multi-dimensional conceptual framework that illuminates the relative importance of the dimensions within the scales. Additionally, it offers valuable insights into the impacts of e-service quality and UX on overall satisfaction, providing managers and practitioners with a tool to evaluate the quality of their electronic services and make necessary adjustments to meet the needs of their customers.
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Sushant Ranjan and Sanket Dash
Workplace deviant behaviors (WDBs) have a significant negative impact on firms. Present study explores the role of employees’ perception of firms’ internal corporate social…
Abstract
Purpose
Workplace deviant behaviors (WDBs) have a significant negative impact on firms. Present study explores the role of employees’ perception of firms’ internal corporate social responsibility (internal CSR) in reducing their intention to engage in WDB. Social exchange theory (SET) and job demand-resource (JD-R) model form the conceptual underpinning of the study.
Design/methodology/approach
Hypotheses were developed based on a comprehensive literature review and tested on employees working in various public and private sector organizations in India. AMOS and SPSS PROCESS macro were used to test the conceptual model.
Findings
Employees’ perception of firms’ internal CSR reduced their intention to engage in WDB. Occupational strain was confirmed as a mediator in the above mentioned relationship. Further, the study also establishes internal CSR as an antecedent to increased perceptions of procedural justice.
Practical implications
Managers may leverage internal CSR communication as a tool to minimize WDB at the workplace. Moreover, it may also be used to reduce occupational strain and strengthen the perceptions of fairness among employees.
Originality/value
Very limited research is available on internal CSR and WDB. Through this study authors contribute to the nascent literature by affirming the negative relationship between internal CSR and WDB using the SET and JD-R model.
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