bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sustainability integration in Palestinian universities: a focus on teaching and research at engineering faculties
Authors: Monna Sameh , Barlet Aline , Haj Hussein Muhannad , Bruneau Denis , Juaidi Adel , Baba Mutasim 
Published: May 2022

Purpose
This study aims to evaluate the current state of sustainability education and research capacity at engineering faculties. More specifically, this research is intended to provide new and much-needed information about sustainability knowledge, teaching and research activities.

Design/methodology/approach
The first method used is a questionnaire survey completed by teachers and researchers about their activities dealing with sustainability and the second is based on a systematic literature review at the SCOPUS database for scientific publications on sustainability by Palestinian universities in the Palestinian context, and the number of publications in fields related to sustainability in Scopus indexed journals.

Findings
Some institutions include more sustainability topics in their teaching courses and research activities than others. The number of courses per teaching staff and department and the sustainability contents vary among the selected universities. Teaching activities focus on environmental sustainability, especially on energy, thermal and water efficiency. The number of Scopus indexed publications in fields related to sustainability in the past 20 years is low. The highest number of published papers was those focused on environmental sustainability.

Practical implications
This study has implications for university researchers and educators by identifying the gaps between the teaching and research conducted and the UN Sustainable Development Goals for 2030. For policymakers, the study shows that the status of sustainability in higher education, mainly at engineering schools, is still in great need for universities’ and government’s support, for example, to increase the number of published papers, number of courses and master programmes addressing sustainability.

Originality/value
This paper provides a current status for integrating sustainability education and research at engineering schools. The output of this study can be useful for future research to analyse higher education institutions’ impacts on sustainable development.
Logistics 4.0 measurement model: empirical validation based on an international survey
Authors: Dallasega Patrick , Woschank Manuel , Sarkis Joseph , Tippayawong Korrakot Yaibuathet 
Published: May 2022

PurposeThis study aims to provide a measurement model, and the underlying constructs and items, for Logistics 4.0 in manufacturing companies. Industry 4.0 technology for logistics processes has been termed Logistics 4.0. Logistics 4.0 and its elements have seen varied conceptualizations in the literature. The literature has mainly focused on conceptual and theoretical studies, which supports the notion that Logistics 4.0 is a relatively young area of research. Refinement of constructs and building consensus perspectives and definitions is necessary for practical and theoretical advances in this area.Design/methodology/approachBased on a detailed literature review and practitioner focus group interviews, items of Logistics 4.0 for manufacturing enterprises were further validated by using a large-scale survey with practicing experts from organizations located in Central Europe, the Northeastern United States of America and Northern Thailand. Exploratory and confirmatory factor analyses were used to define a measurement model for Logistics 4.0.FindingsBased on 239 responses the exploratory and confirmatory factor analyses resulted in nine items and three factors for the final Logistics 4.0 measurement model. It combines “the leveraging of increased organizational capabilities” (factor 1) with “the rise of interconnection and material flow transparency” (factor 2) and “the setting up of autonomization in logistics processes” (factor 3).Practical implicationsPractitioners can use the proposed measurement model to assess their current level of maturity regarding the implementation of Logistics 4.0 practices. They can map the current state and derive appropriate implementation plans as well as benchmark against best practices across or between industries based on these metrics.Originality/valueLogistics 4.0 is a relatively young research area, which necessitates greater development through empirical validation. To the best of the authors knowledge, an empirically validated multidimensional construct to measure Logistics 4.0 in manufacturing companies does not exist.
The contribution of Shariah-Compliant products to SDGs attending through the pace of economic growth: an empirical evidence from Pakistan
Authors: Siddique Muhammad Abubakar , Haq Mirajul , Rahim Memoona 
Published: May 2022

Purpose
Since 2004, Pakistan carried the banking sector under the umbrella of the Islamic financial paradigm, consequently the Islamic Banking Industry (IBI) placed an upright position in the banking and financial market of Pakistan. In this context, this study aims to analyze the effect of Shariah-compliant products of the IBI on the pace of economic growth in Pakistan.

Design/methodology/approach
The data set covered 13 Pakistani Islamic banks comprising four full-fledged Islamic banks and 9 conventional banks holdings standalone Islamic Branches, for the period 2004–2019. Considering nature of the empirical model and data set, the estimation was carried out with the Pooled Ordinary least squares estimation technique.

Findings
The findings of the study reveal that Shariah-compliant products have a positive effect on the pace of economic growth. This indication is based on the fact that five out of six Shariah-compliant products hold positive signs and are statistically significant. In addition, the empirical evidence shows that at large conventional financial sector signifies its role in the Shariah-compliant products and pace of economic growth nexus. Among the control variables, foreign direct investment, human capital, trade openness, inflation and private credit pose negative, whereas money supply and stock market capitalization have a positive effect on the pace of economic growth in Pakistan. Findings of the study points towards the fact that Shariah-compliant financing has great potential to enhance the economic growth of Pakistan therefore to touch the sustainable development goals (SDGs).

Practical implications
Having played a significant role in the growth process, Islamic bankers should portray a positive image of their industry to the government authorities. The government should design a public policy to encourage Islamic modes of finance at a macro level to increase the pace of economic growth and therefore SDGs realization.

Originality/value
Findings of the study present new insight into the application of Shariah-compliant products of IBI toward the realization of SDGs in case of Pakistan.
Battery electric buses charging schedule optimization considering time-of-use electricity price
Authors: He Jia , Yan Na , Zhang Jian , Yu Yang , Wang Tao 
Published: May 2022

Purpose
This paper aims to optimize the charging schedule for battery electric buses (BEBs) to minimize the charging cost considering the time-of-use electricity price.

Design/methodology/approach
The BEBs charging schedule optimization problem is formulated as a mixed-integer linear programming model. The objective is to minimize the total charging cost of the BEB fleet. The charge decision of each BEB at the end of each trip is to be determined. Two types of constraints are adopted to ensure that the charging schedule meets the operational requirements of the BEB fleet and that the number of charging piles can meet the demand of the charging schedule.

Findings
This paper conducts numerical cases to validate the effect of the proposed model based on the actual timetable and charging data of a bus line. The results show that the total charge cost with the optimized charging schedule is 15.56% lower than the actual total charge cost under given conditions. The results also suggest that increasing the number of charging piles can reduce the charging cost to some extent, which can provide a reference for planning the number of charging piles.

Originality/value
Considering time-of-use electricity price in the BEBs charging schedule will not only reduce the operation cost of electric transit but also make the best use of electricity resources.
Modeling the evolution of competitive market structure via competitive group dynamics
Authors: Kani Amirali , Fong Duncan K.H. , S. DeSarbo Wayne 
Published: May 2022

Purpose
This paper aims to examine the evolution of a competitive market structure over time through the lens of competitive group membership dynamics.

Design/methodology/approach
A new hidden Markov modeling approach is devised that accounts for the three sources of competitive heterogeneity involving managerial strategy, corporate performance and the impact of strategy on performance. In addition, some observed “entry” and “exit” states are considered to model firms’ entry into and exit from the market. The proposed model is illustrated with an investigation of the US banking industry based on a data set created from the COMPUSTAT database. This paper estimated the model within the Bayesian framework and devised a reversible jump Markov chain Monte Carlo estimation procedure to determine the number of latent competitive groups and uncover the characteristics of each group.

Findings
This paper shows that the US banking industry, contrary to the prior findings of having a relatively stable structure, has, in fact, gone through dramatic changes in the past number of decades.

Originality/value
Contrary to prior work that has primarily focused on managerial strategy to study market evolutions, the competitive groups perspective accounts for all three sources of intra-industry competitive heterogeneity. In addition, unlike prior research, the analysis is not limited to firms remaining in the panel of study for the entire observation period. Such limitation results in missing the various changes that occur in the competitive market structure because of the new entrants or the struggling firms that do not survive in the market.
The effect of materialism and impression management purchase motivation on purchase intention for luxury athleisure products: the moderating effect of sustainability
Authors: Kim Yunjeong , Oh Kyung Wha 
Published: May 2022

Purpose
This study aims to identify the consumption mechanism by which consumers’ materialism creates purchase intentions for luxury athleisure products through impression management purchase motivation and to verify the moderating effect of sustainability in this mechanism.

Design/methodology/approach
This study conducted a scenario-based online survey by dividing into two groups according to the sustainability of luxury brand products (non-sustainable vs sustainable). Structure equation modeling (SEM) was performed to verify the hypotheses.

Findings
The SEM results showed that materialism has a positive effect on the purchase intention of luxury athleisure products. It was also confirmed that impression management purchase motivation mediates the relationship between materialism and purchase intention. As a result of examining the moderating effect of sustainability, materialism directly affects purchase intention for unsustainable products, but only indirectly affects sustainable products through impression management purchase motivation.

Research limitations/implications
This study expanded the research on luxury brands by providing the consumption mechanism of luxury athleisure considering sustainability.

Practical implications
Luxury brand marketers should strategically motivate consumers to purchase by activating materialistic tendencies such as ownership and display for general athleisure products and using impression management purchase motivation for sustainable products.

Originality/value
This study explored unresolved research areas on the consumption mechanism of luxury athleisure by identifying the mediating role of impression management purchase motivation in the relationship between materialism and luxury consumption and exploring the moderating role of sustainability.
Intention, trust and risks as core determinants of cloud computing usage behavior
Authors: Alsmadi Duha , Halawani Marwah , Prybutok Victor , Al-Smadi Radwan 
Published: May 2022

Purpose
This study aims to investigate the determinants of cloud computing usage behavior by exploring trust, several trust antecedents, risk perceptions and the direct and mediating relationships of trust and perceived risk on the intention toward the behavior.

Design/methodology/approach
An online survey was administered to 1,228 cloud technology users. Using structural equation modeling, a proposed framework of 13 factors that have a direct and indirect influence on the usage behavior was introduced and tested.

Findings
It was observed that the intention toward the usage was influenced by trust and performance expectancy. Additionally, trust was affected by perceived accessibility and perceived technical support. The findings provided evidence on the diminished effect of perceived privacy and the insignificance of the mediating relationship of trust and perceived risk on the intention.

Research limitations/implications
The study provides multiple implications for researchers by highlighting the concept of trust in this context and enriching their understanding of the relationship between risk and trust.

Practical implications
The research provides valuable guidelines for service providers toward introducing major concerns and the importance of dependable technical support.

Originality/value
This study contributes to the cloud computing literature by exploring the effect of perceived technical support on the usage and examining the relationship between trust and risk.
Factors affecting value co-creation through artificial intelligence in tourism: a general literature review
Authors: Solakis Konstantinos , Katsoni Vicky , Mahmoud Ali B. , Grigoriou Nicholas 
Published: May 2022

PurposeThis is a general review study aiming to specify the key customer-based factors and technologies that influence the value co-creation (VCC) process through artificial intelligence (AI) and automation in the hospitality and tourism industry.Design/methodology/approachThe study uses a theory-based general literature review approach to explore key customer-based factors and technologies influencing VCC in the tourism industry. By reviewing the relevant literature, the authors conclude a theoretical framework postulating the determinants of VCC in the AI-driven tourism industry.FindingsThis paper identifies customers' perceptions, attitudes, trust, social influence, hedonic motivations, anthropomorphism and prior experience as customer-based factors to VCC through the use of AI. Service robots, AI-enabled self-service kiosks, chatbots, metaversal tourism and new reality, machine learning (ML) and natural language processing (NLP) are technologies that influence VCC.Research limitations/implicationsThe results of this research inform a theoretical framework articulating the human and AI elements for future research set to expand the models predicting VCC in the tourism industry.Originality/valueFew studies have examined consumer-related factors that influence their participation in the VCC process through automation and AI.
Mechanisms of learning transfer in creativity training
Authors: Kuo Tsung-Hsien , Tien Han-Kuang 
Published: May 2022

PurposeThis study aims to establish a new model that elucidates the mechanism behind the long-term effects of creativity training. Previous studies have only explored influential positive factors when examining the transfer mechanism of creativity training. However, the transfer mechanism must encompass the negative factors of creative abrasion due to temporal dynamics.Design/methodology/approachThe authors performed a two-phase survey of 284 trainees participating in the survey. During the first phase, 48 h of creativity training was provided to the advertising agency staff. Six months later, the second phase was performed. Researchers have conducted follow-up studies on the long-term effects of creativity training. The hypotheses were tested using structural equation modeling.FindingsBased on the results, the mechanism behind the long-term effect of creativity training is as follows: motivation to learn, transfer design and transfer climate positively influence motivation to transfer (MTT), while MTT positively impacts overall individual performance. However, creative abrasion negatively affects MTT and individual performance.Originality/valueCreative abrasion must be considered when the long-term effect of creativity training is explored, because it reduces the long-term effect of creativity training on trainees. Creative energy from one-time creativity training will be gradually worn away because of the abrasion caused by teamwork, group thinking and self-gratification.
Revisiting learning styles and autonomy in the design studio: an undergraduate assessment
Authors: Al Maani Duaa 
Published: May 2022

PurposeThis cross-sectional study investigated differences in the learning styles of 127 undergraduate architectural students (first year through to final year) to examine the relationship between learning styles and learning autonomy.Design/methodology/approachFor the investigation, the Felder and Solomon index of learning styles and the Macaskill and Taylor autonomous learning scale were used to identify how these variables relate to one another and how this relationship differs by gender and level of study.FindingsThe study provides evidence of a statistically significant impact of studio-based learning on both learning autonomy and style. Our findings, in conjunction with the absence of consistent findings from literature, provide suggestions for making learning in the studio more inclusive for all students. The authors also suggest that looking for learning style differences in the design studio is redundant. This is not intended to ignore the importance of learning styles, but when differences of learning preferences are apparent in one design studio, such finding would provide support for that specific learning setting, and only then conclusions can be drawn and suggestions can be introduced to help its learners, but not to be generalized to other studios.Originality/valueLearning styles in the design studio literature has revealed only a few fragmentary and sometimes contradicting evidence that cannot be generalized. Although previous studies have explored learning styles in architecture in some detail, much uncertainty still exists about the relation between learning styles and other learning concepts such as autonomy, especially within studio-based subjects. In this research, the authors interrogated and critically review learning styles as applied to different design settings from different countries.
Increasing customer service efficiency through artificial intelligence chatbot
Authors: Andrade Ivan Martins De , Tumelero Cleonir 
Published: May 2022

PurposeThis study investigated the contribution of artificial intelligence (AI) to the efficiency of customer service. This study contributes to services technological innovation in process management, a field not yet settled in the literature.Design/methodology/approachAI is a multidisciplinary field of research that has stood out for the technological dynamism provided to organizational products and processes. The study was carried out at an Analytical Intelligence Unit (AIU) of a Brazilian commercial bank that applies AI integrated with IBM's Watson system. The study used data content analysis, structured and supported by Atlas.ti software.FindingsThe notorious AI cognitive maturity evolution allowed 181 million interactions and 7.6 million attendances in 2020, improving services efficiency, with gains in agility, availability, accessibility, resoluteness, predictability and transshipment capacity. The chatbot service reduced the queues of call centers and relationship centers, allowing the human attendant to perform more complex attendances.Research limitations/implicationsThe main limitations of this study relate to the research cutout and its borders, such as the choice of participants and their areas of activity, and the choice of the unit of analysis.Practical implicationsThe results indicated that attendance through the virtual assistant increased by more than a 1,000% from 2019 to 2020, demonstrating the bank was technologically ready to face the Covid-19 pandemic effects.Originality/valueIn line with the evolutionary theory of innovation, the authors concluded that technological scaling in AI allows exponential gains in customer service efficiency and business process management. They also conclude that the strategy for creating AIUs is successful, once it allows centralizing, structuring and coordinating AI projects in R&D cooperation, cognitive computing and analytics.
Evaluation of the impact performance and energy absorption capabilities of 3D printed composites
Authors: Swart Russo , Korkees Feras , Dorrington Peter , Thurman Joshua 
Published: May 2022

Purpose
Composites 3D printing has the potential to replace the conventional manufacturing processes for engineering applications because it allows for the manufacturing of complex shapes with the possibility of reducing the manufacturing cost. This paper aims to analyse the performance of 3D printed fibre reinforced polymer composites to investigate the energy absorption capabilities and the residual properties before and after impact.

Design/methodology/approach
Various composites composed of carbon fibres and Kevlar fibres embedded into both Onyx and nylon matrix were printed using Markforged-Two 3D printers. Specimens with different fibre orientations and fibre volume fractions (Vf) were printed. A drop-weight impact test was performed at energies of 2, 5, 8 and 10 J. Flexural testing was performed to evaluate the flexural strength, flexural modulus and absorbed energy under bending (AEUB) before and after impact. Additionally, 3D printed carbon fibre composites were tested at two different temperatures to study their behaviour under room and sub-ambient temperatures. Failure modes were investigated using optical and high depth of field microscopes for all 3D printed composite samples.

Findings
Kevlar/nylon composites with a unidirectional lay-up and 50% Vf exhibited the most prominent results for AEUB at room temperature. The high-Vf carbon fibre composite showed the highest ultimate strength and modulus and performed best at both temperature regimes.

Originality/value
The work, findings and testing produced in this paper are entirely original with the objective to provide further understanding of 3D printed composites and its potential for use in many applications.