Search results
1 – 10 of 11This study aims to evaluate Artificial Intelligence (AI) research in the hospitality industry based on the service AI framework (mechanical-thinking-feeling) and highlight…
Abstract
Purpose
This study aims to evaluate Artificial Intelligence (AI) research in the hospitality industry based on the service AI framework (mechanical-thinking-feeling) and highlight prospective avenues for future inquiry in this growing domain.
Design/methodology/approach
This paper conceptualizes timely concepts supported by research spanning multiple domains.
Findings
This research introduces a novel classification for the domain of AI hospitality research. This classification encompasses prediction and pattern recognition, computer vision, NLP, behavioral research, and synthetic data generation. Based on this classification, this study identifies and elaborates upon five emerging research topics, each linked to a corresponding set of research questions. These focal points encompass the realms of interpretable AI, controllable AI, AI ethics, collaborative AI, and synthetic data generation.
Originality/value
This viewpoint provides a foundational framework and a directional compass for future research in AI within the hospitality industry. It pushes the industry forward with a balanced approach to leveraging AI to augment human potential and enrich customer experiences. Both the classification and the research agenda would contribute to the body of knowledge that will guide the industry toward a future where technology and human service coalesce to create unparalleled value for all stakeholders.
Details
Keywords
The Honors College program prepares leaders for the 21st century to become forces for positive change through problem-solving, scholarship, service, teamwork, and leadership. Its…
Abstract
The Honors College program prepares leaders for the 21st century to become forces for positive change through problem-solving, scholarship, service, teamwork, and leadership. Its structure involves nine sequenced courses familiarizing students with challenges facing communities. Courses are team-taught by professors in different disciplines to highlight the diversity in applying concepts across contexts. This paper offers an examination of the connections for cultivating self-awareness through team-teaching in the classroom and experiential learning.
Mohammed Abdullah Alharbi and Abdulrahman Nasser Alqefari
The purpose of this study is to examine the uptake of peer vs. instructor feedback provided on written essays by undergraduates in a writing course at a public university in Saudi…
Abstract
Purpose
The purpose of this study is to examine the uptake of peer vs. instructor feedback provided on written essays by undergraduates in a writing course at a public university in Saudi Arabia.
Design/methodology/approach
This was a classroom intervention exploratory study with 16 pairs of students attending a writing class over a period of 14 weeks.
Findings
Analysis of feedback and uptake indicated that the students incorporated a high rate (85.21%) of feedback in revising their essays. The results also showed that the quantity of students’ uptake of instructor feedback (88.77%) was higher than that of peer feedback (82.17%). In terms of the rate of uptake of global feedback focusing on content and organization vs. local feedback focusing on language and formatting, the rate of uptake of local feedback (85.34%) was slightly higher than the uptake of global feedback (84.90%). The current results also showed that the quality of feedback (peer vs. instructor feedback and global vs. local feedback) also varied. Students’ perspectives on feedback underlined their perceived value of feedback on writing, their preference for instructor feedback and the perceived benefits of providing and receiving feedback.
Originality/value
This study investigated an area that has been under-researched in the Saudi higher education context and it has direct implications for the provision of feedback in writing classes.
Details
Keywords
Elisa Monteiro and Chris Forlin
Validation of the Teachers' Sense of Efficacy Scale (TSES) for use with teachers in Macao (SAR) was undertaken to determine its usefulness as a measure of teacher self-efficacy…
Abstract
Validation of the Teachers' Sense of Efficacy Scale (TSES) for use with teachers in Macao (SAR) was undertaken to determine its usefulness as a measure of teacher self-efficacy for inclusive education. This paper discusses the results found by analyzing various versions of the TSES and TSES-C in a Chinese format with 200 pre-service teachers in Macao (SAR). Psychometric analyses were undertaken to investigate the validity of the existing scales and the three and two factor solutions. The results indicated a preferred 9-item version that produced improved factor loadings and reliabilities. The use of a relatively quick and short scale to measure such a complex phenomenon as teacher self-efficacy is discussed. Issues are raised regarding generalizability of scales and the impact of culture, demographics, and edifying issues that may impact on the usefulness of such scales.
Details
Keywords
This study aims to examine Saudi female students' attitude toward peer feedback activity in writing classes with a list of questions for the students to follow during the…
Abstract
Purpose
This study aims to examine Saudi female students' attitude toward peer feedback activity in writing classes with a list of questions for the students to follow during the activity, and to investigate the challenges that may prevent the use of such activity in Saudi EFL classes.
Design/methodology/approach
This study used a mixed-methods to ensure the credibility of the data and obtain clear descriptions about the topic. The study instruments are (1) Writing Essays, (2) Writing Checklist, (3) Questionnaire and (4) Semi-structured interview. The data were analysis with SPSS and o 10 software.
Findings
The study results indicated that students had a positive attitude toward peer feedback with a checklist in EFL writing class. For instance, their second written essay (post) has improved and has fewer mistakes than the first one. Also, most of the participants stated that peer feedback has improved their writing quality and has enhanced their writing awareness of their weaknesses and mistakes. Moreover, the interview had highlighted the main challenges that could affect using peer feedback in writing class. Finally, the results indicate the efficiency of peer feedback with a checklist in similar teaching contexts.
Research limitations/implications
The study focused on a small number of participants (30 students). Besides, the study dealt with students at university level only and the study focused on female students.
Practical implications
Based on the study finding, it is recommended that peer feedback should be integrated in all EFL writing classes at all levels. Based on the study finding, it is recommended that peer feedback should be incorporated in all EFL writing classes at all levels. Using checklist can help the students to become more independent learners and in time they will be able to correct their own mistakes.
Originality/value
This paper fulfills an identified need to identify how integrating peer feedback activity in writing class can improve the students' writing performance and help them to be independent learners.
Details
Keywords
Renier Christiaan Els and Helen H.W. Meyer
The successful implementation of quality management in organizations is dependent on people, particularly leaders. It seems as if leaders' affective states (attitudes and…
Abstract
Purpose
The successful implementation of quality management in organizations is dependent on people, particularly leaders. It seems as if leaders' affective states (attitudes and commitment) in the military were connected to their capability to inspire people and a group (corps training unit) to achieve a common goal. The research reported in this article was aimed at examining officers in corps training units' attitudes towards, and commitment to quality management in training in the South African Army.
Design/methodology/approach
Focus group interviews were conducted with a sample of 49 officers on various levels (senior, junior and warrant officers) at six South African Army corps training units.
Findings
The findings indicate that the attitudes of leaders played a significant role to ensure that quality management of training is conducted effectively. Participants experienced that leaders in the South African Army were mostly responsible for the negative attitudes of officers in corps training units. Inadequate leadership support and lack of trust contributed to a lack of transparency and poor communication that resulted in poor commitment among officers at corps training units. The investigation further revealed that a positive affective state (attitudes and commitment) of leaders is essential in ensuring effective quality management of training.
Originality/value
The potential usefulness of this research may provide insight into how leaders' affective state could be improved to ensure effective quality management. This research may also be of interest to other organizations that conduct in-house training.
Details
Keywords
The purpose of this paper is to explore effects of an intervention designed for teachers' learning. This study investigates the effectiveness of a three-session professional…
Abstract
Purpose
The purpose of this paper is to explore effects of an intervention designed for teachers' learning. This study investigates the effectiveness of a three-session professional development (PD) program based on the lesson study methodology. Lesson study was chosen as an intervention, attempting to strengthen teachers' awareness of and readiness to teach for student diversity.
Design/methodology/approach
This study included 26 participants. The teachers took part in lesson study cycles during a period of four months. Effectiveness was measured using a pre-test/post-test within-subject design. The broad concept of inclusion and the characteristics of the research questions in this study demanded a mix of methods, a design in which qualitative and quantitative data are collected in parallel, analyzed separately and then merged.
Findings
Results show an increase of teachers' readiness from baseline to post measurement to adjust the learning environment for increased inclusivity. The largest increase (88%) was seen in the themes in teachers' responses regarding accommodations for a student with special needs. Regarding self-perceived ability, the average increase was 50%. Results show significant changes in teachers' adjustment awareness ability.
Originality/value
This study contributes to educational research, as the focus is PD for general teachers. PD opportunities with teaching strategies related to special needs (e.g. neurodevelopmental conditions, NDCs) are seldom offered to general education teachers. Support from teachers is a key strategy for accommodating students with special needs in mainstream classrooms. Furthermore, there is a lack of literature of interventions aiming to improve teachers' readiness and preparedness for students with NDCs in mainstream settings.
Details
Keywords
This empirical survey is conducted to investigate the prevalence rate of academic dishonesty (AD) in examinations and assignments among undergraduates. The study compared the…
Abstract
Purpose
This empirical survey is conducted to investigate the prevalence rate of academic dishonesty (AD) in examinations and assignments among undergraduates. The study compared the difference in admitted behaviours of academic dishonesty between male and female students comprising second-year, third-year and fourth-year students from the discipline of business, engineering, information technology (IT) and education.
Design/methodology/approach
A cross-sectional study was utilized in this study and collected data via the online questionnaire. A total of 1,624 respondents participated from four public universities of four provinces in China Mainland.
Findings
The findings showed that the proportion of respondents from China participating in AD is between 15.4 and 51.7%. The findings showed that more than two-thirds of the respondents stated involved dishonesty in examinations and assignments at least once during the previous academic year. In addition, male and female undergraduates in second-year, third-year and fourth-year showed statistically significant differences in dishonest behaviours. Specifically, the male/senior students were more involved in dishonest behaviours than the females/sophomores.
Originality/value
Unlike previous studies, this study found that discipline in the Chinese context was not a significant demographic predictor of dishonesty. Although not significantly different, the respondents majoring in business reported a high engagement rate of dishonesty, followed by engineering and information technology undergraduates, but education undergraduates revealed the lowest engagement rate of dishonesty. The target integrity education should be imparted among male and senior students.
Details
Keywords
Stefano Magistretti, Claudio Dell'Era and Nicola Doppio
Design approaches to innovation are booming in both the academic and practitioner worlds. Tech giants are proposing different methodologies to develop technological innovation…
Abstract
Purpose
Design approaches to innovation are booming in both the academic and practitioner worlds. Tech giants are proposing different methodologies to develop technological innovation leveraging design principles, for example, Amazon with working backward and Google with Design Sprint. However, little is known on the role of these methodologies in managing the knowledge translation among different stakeholders. This paper aims to investigate how Design Sprint approaches can face digital challenges and foster collaborations.
Design/methodology/approach
Through interviews and participatory observations of ten exploratory cases of SME adoption of the Design Sprint methodology, data were collected, organized, clustered and then validated. Furthermore, by adopting a configuration theory perspective, the data have been processed to contribute to the emergence of two Design Sprint organizational taxonomy.
Findings
Competences, type of design challenge and the process followed emerge from the cases as key drivers of different Design Sprint configurations. Moreover, the configuration theory helped in identifying two Design Sprint taxonomies named Willing and Wondering configurations. Finally, the paper provides managers with practical guidelines on how to leverage these configurations to make this approach more effective for SMEs and how this method helps the knowledge translation.
Originality/value
The value and originality of the paper are in defining Design Sprint from a theoretical point of view and offering practical guidelines on how to adapt it to the particular context of collaborative digital environments of SMEs. Moreover, it contributes to enlarging the relevance of configurational theory in the creative industries.
Details
Keywords
Santo Raneri, Fabian Lecron, Julie Hermans and François Fouss
Artificial intelligence (AI) has started to receive attention in the field of digital entrepreneurship. However, few studies propose AI-based models aimed at assisting…
Abstract
Purpose
Artificial intelligence (AI) has started to receive attention in the field of digital entrepreneurship. However, few studies propose AI-based models aimed at assisting entrepreneurs in their day-to-day operations. In addition, extant models from the product design literature, while technically promising, fail to propose methods suitable for opportunity development with high level of uncertainty. This study develops and tests a predictive model that provides entrepreneurs with a digital infrastructure for automated testing. Such an approach aims at harnessing AI-based predictive technologies while keeping the ability to respond to the unexpected.
Design/methodology/approach
Based on effectuation theory, this study identifies an AI-based, predictive phase in the “build-measure-learn” loop of Lean startup. The predictive component, based on recommendation algorithm techniques, is integrated into a framework that considers both prediction (causal) and controlled (effectual) logics of action. The performance of the so-called active learning build-measure-predict-learn algorithm is evaluated on a data set collected from a case study.
Findings
The results show that the algorithm can predict the desirability level of newly implemented product design decisions (PDDs) in the context of a digital product. The main advantages, in addition to the prediction performance, are the ability to detect cases where predictions are likely to be less precise and an easy-to-assess indicator for product design desirability. The model is found to deal with uncertainty in a threefold way: epistemological expansion through accelerated data gathering, ontological reduction of uncertainty by revealing prior “unknown unknowns” and methodological scaffolding, as the framework accommodates both predictive (causal) and controlled (effectual) practices.
Originality/value
Research about using AI in entrepreneurship is still in a nascent stage. This paper can serve as a starting point for new research on predictive techniques and AI-based infrastructures aiming to support digital entrepreneurs in their day-to-day operations. This work can also encourage theoretical developments, building on effectuation and causation, to better understand Lean startup practices, especially when supported by digital infrastructures accelerating the entrepreneurial process.
Details