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Article
Publication date: 3 June 2024

On Kit Tam and Bin Liu

142

Abstract

Details

Studies in Economics and Finance, vol. 41 no. 2
Type: Research Article
ISSN: 1086-7376

Available. Content available
Article
Publication date: 17 August 2012

415

Abstract

Details

Grey Systems: Theory and Application, vol. 2 no. 2
Type: Research Article
ISSN: 2043-9377

Available. Content available
Article
Publication date: 21 August 2017

J. Jenny Li, I-Hsien Ting and Charles Perez

314

Abstract

Details

Information Discovery and Delivery, vol. 45 no. 3
Type: Research Article
ISSN: 2398-6247

Available. Open Access. Open Access
Article
Publication date: 7 February 2023

Lucio Todisco, Andrea Tomo, Paolo Canonico and Gianluigi Mangia

The paper aims to understand how the spread of coronavirus disease 2019 (COVID-19) influenced public employees' perception of smart working and how this approach was used during…

3870

Abstract

Purpose

The paper aims to understand how the spread of coronavirus disease 2019 (COVID-19) influenced public employees' perception of smart working and how this approach was used during the pandemic. The authors asked about smart working's positive and negative aspects and how these changed during the pandemic.

Design/methodology/approach

The authors explored the strengths and weaknesses of smart working before and after COVID-19. The authors interviewed 27 Italian public employees who had experienced smart working before the pandemic. The questions and discussion aimed to broadly explore the strengths and weaknesses of smart working and smart working's impact on working performance, work relationships and work–life balance (WLB).

Findings

Smart working had a widespread and positive impact on organizational flexibility. Smart working improved the response and resilience of Italian public organizations to the pandemic. However, some critical factors emerged, such as the right to disconnect and the impact on WLB.

Research limitations/implications

The authors suggest that the pandemic exposed the need for public administrations to consolidate work flexibility practices, such as smart working, by paying more attention to the impact of these practices on the whole organization and human resources management (HRM) policies and practices.

Originality/value

This study makes an important contribution to the literature on the public sector by discussing the positive and negative aspects of smart working. The study also provides managerial and policy implications of the use of smart working in public administrations.

Details

Management Decision, vol. 61 no. 13
Type: Research Article
ISSN: 0025-1747

Keywords

Available. Open Access. Open Access
Article
Publication date: 17 June 2024

Wagdi Rashad Ali Bin-Hady, Jamal Kaid Mohammed Ali and Mustafa Ahmed Al-humari

Chat Generative Pre-trained Transformer (ChatGPT) has become everyone’s talk. It frightens many professionals, who worry about losing their jobs. ChatGPT may reconstruct some…

2236

Abstract

Purpose

Chat Generative Pre-trained Transformer (ChatGPT) has become everyone’s talk. It frightens many professionals, who worry about losing their jobs. ChatGPT may reconstruct some professions; some occupations may vanish while new ones may appear.

Design/methodology/approach

This mixed-methods study explores whether and how the use of ChatGPT impacts English is taught as a foreign language (EFL) students' social and emotional learning (SEL). The study used a questionnaire and collected perception data from 57 EFL students. A discussion with seven EFL professors was also formulated to triangulate the findings.

Findings

Results indicate that EFL students have high positive perceptions of using ChatGPT in their learning (M = 3.87). Results also showed that using ChatGPT has a moderate impact on EFL students' SEL (R = 514). This moderate effect was confirmed by the qualitative findings, which indicated that ChatGPT positively impacts EFL students' SEL by allowing them to practice conversation skills, aiding them in managing their emotional intelligence, providing them with feedback and reducing their anxiety. However, findings also indicated that ChatGPT reduces students' creativity and limits their emotional growth. Finally, the findings reported that for better use of ChatGPT, supervision is key.

Originality/value

This study recommends the use of ChatGPT in a way that helps students' creativity and emotional growth.

Details

Journal of Research in Innovative Teaching & Learning, vol. 17 no. 2
Type: Research Article
ISSN: 2397-7604

Keywords

Available. Open Access. Open Access
Article
Publication date: 13 July 2021

Hailiang Chen, Chuan Ai, Bin Chen, Yong Zhao, Kaisheng Lai, Lingnan He and Zhihan Liu

The purpose of this paper is to achieve effective governance of online rumors through the proposed rumor propagation model and immunization strategy.

1584

Abstract

Purpose

The purpose of this paper is to achieve effective governance of online rumors through the proposed rumor propagation model and immunization strategy.

Design/methodology/approach

The paper leverages the agent-based modeling (ABM) method to model individuals from two aspects, behavior and attitude. Based on the analysis and research of online data, we propose a rumor propagation model, namely the Untouched view transmit removed-Susceptible hesitate agree disagree (Unite-Shad), and devise an immunization strategy, namely the Gravity Immunization Strategy (GIS). A graph-based framework, namely Pregel, is used to carry out the rumor propagation simulation experiments. Through the experiments, the rationality of the Unite-Shad and the effectiveness of the GIS are verified.

Findings

The study discovers that the inconsistency between human behaviors and attitudes in rumor propagation can be explained by the Unite-shad model. Besides, the GIS, which shows better performance in small-world networks than in scale-free networks, can effectively suppress rumor propagation in the early stage.

Research limitations/implications

This paper provides an effective immunization strategy for rumor governance. Specifically, the Unite-Shad model reveals the mechanism of rumor propagation, and the GIS provides an effective governance method for selecting immune nodes.

Originality/value

The inconsistency of human behaviors and attitudes in real scenes is modeled in the Unite-Shad model. Combined with the model, the definition of diffusion domain is proposed and a novel immunization strategy, namely GIS, is designed, which is significant for the social governance of rumor propagation.

Details

Internet Research, vol. 32 no. 2
Type: Research Article
ISSN: 1066-2243

Keywords

Available. Open Access. Open Access
Article
Publication date: 15 December 2020

Kathrina Mohd Daud

The film was a revelation to me because I was not aware of any visual record of such a culture in pre-independence Brunei. Until I saw the film, my impressions of Bruneian culture…

171

Abstract

The film was a revelation to me because I was not aware of any visual record of such a culture in pre-independence Brunei. Until I saw the film, my impressions of Bruneian culture came mostly from hearsay and oral history […] to put it bluntly, Gema Dari Menara is not a very good film at all, but is nonetheless a time capsule of Brunei’s lost pop history.

Gema Dari Menara/ Echoes from the Minaret: A Conversation with Mervin Espina about the Lost Cinema of Brunei (Espina, 2013: 70)

Details

Southeast Asia: A Multidisciplinary Journal, vol. 20 no. 2
Type: Research Article
ISSN: 1819-5091

Available. Open Access. Open Access
Article
Publication date: 15 March 2019

Piotr Kwiatek and Marsela Thanasi-Boçe

Loyalty programs (LPs) in a business-to-business (B2B) context have been under-researched when compared to consumer markets. The purpose of this paper is to investigate if and to…

9639

Abstract

Purpose

Loyalty programs (LPs) in a business-to-business (B2B) context have been under-researched when compared to consumer markets. The purpose of this paper is to investigate if and to what extent the loyalty program activity (LPA) based on recency, frequency and monetary framework reflects the effectiveness of a specific LP.

Design/methodology/approach

Using the data obtained from 818 business customers enrolled in a LP, logistic regression models are run to find the impact of LPA on the company’s sales.

Findings

The results suggest that in a linear LP, the frequency of rewards impacts sales the most, compared to recency and amount of points redeemed. The intensity of a LPA is influencing the expected sales in a company.

Research limitations/implications

The current study is not focused on the redemption patterns and the value of the rewards offered in the program. Limitation of the study only to one country and in a single company does not allow to generalize presented findings.

Practical implications

Companies should focus their efforts on defining the best level of frequency rewards in their LPs. Reward timing should be considered as a factor that influences the change in customer purchasing behavior more than the amount of points accumulated.

Originality/value

The research provides empirical evidence to support the highest influence of frequency of rewards on sales, compared to recency and amount of points redeemed. This is one of the few LP studies conducted in the context of the B2B market.

Details

Marketing Intelligence & Planning, vol. 37 no. 5
Type: Research Article
ISSN: 0263-4503

Keywords

Available. Open Access. Open Access
Article
Publication date: 2 September 2019

Bin Yao, Richard T.R. Qiu, Daisy X.F. Fan, Anyu Liu and Dimitrios Buhalis

Due to product diversity, traditional quality signals in the hotel industry such as star ratings and brand affiliation do not work well in the accommodation booking process on the…

5304

Abstract

Purpose

Due to product diversity, traditional quality signals in the hotel industry such as star ratings and brand affiliation do not work well in the accommodation booking process on the sharing economy platform. From a suppliers’ perspective, this study aims to apply the signaling theory to the booking of Airbnb listings and explore the influence of quality signals on the odds of an Airbnb listing being booked.

Design/methodology/approach

A binomial logistic model is used to describe the influences of different attributes on the market demand. Because of the large sample size, sequential Bayesian updating method is utilized in hospitality and tourism field for the first attempt.

Findings

Results show that, in addition to host-specific information such as “Superhost” and identity verification, attributes including price, extra charges, region competitiveness and house rules are all effective signals in Airbnb. The signaling impact is more effective for the listings without any review comments.

Originality/value

This study contributes to the literature by incorporating the signaling theory in the analysis of booking probability of Airbnb accommodation. The research findings are valuable to hosts in improving their booking rates and revenue. In addition, government and industrial management organizations can have more efficient strategy and policy planning.

Details

International Journal of Contemporary Hospitality Management, vol. 31 no. 12
Type: Research Article
ISSN: 0959-6119

Keywords

Available. Open Access. Open Access
Article
Publication date: 7 November 2024

Bin Lei, Zhuoxing Hou, Yifei Suo, Wei Liu, Linlin Luo and Dongbo Lei

The volume of passenger traffic at metro transfer stations serves as a pivotal metric for the orchestration of crowd flow management. Given the intricacies of crowd dynamics…

62

Abstract

Purpose

The volume of passenger traffic at metro transfer stations serves as a pivotal metric for the orchestration of crowd flow management. Given the intricacies of crowd dynamics within these stations and the recurrent instances of substantial passenger influxes, a methodology predicated on stochastic processes and the principle of user equilibrium is introduced to facilitate real-time traffic flow estimation within transfer station streamlines.

Design/methodology/approach

The synthesis of stochastic process theory with streamline analysis engenders a probabilistic model of intra-station pedestrian traffic dynamics. Leveraging real-time passenger flow data procured from monitoring systems within the transfer station, a gradient descent optimization technique is employed to minimize the cost function, thereby deducing the dynamic distribution of categorized passenger flows. Subsequently, adhering to the tenets of user equilibrium, the Frank–Wolfe algorithm is implemented to allocate the intra-station categorized passenger flows across various streamlines, ascertaining the traffic volume for each.

Findings

Utilizing the Xiaozhai Station of the Xi’an Metro as a case study, the Anylogic simulation software is engaged to emulate the intra-station crowd dynamics, thereby substantiating the efficacy of the proposed passenger flow estimation model. The derived solutions are instrumental in formulating a crowd control strategy for Xiaozhai Station during the peak interval from 17:30 to 18:00 on a designated day, yielding crowd management interventions that offer insights for the orchestration of passenger flow and operational governance within metro stations.

Originality/value

The construction of an estimation methodology for the real-time streamline traffic flow augments the model’s dataset, supplanting estimated values derived from surveys or historical datasets with real-time computed traffic data, thereby enhancing the precision and immediacy of crowd flow management within metro stations.

Details

Railway Sciences, vol. 3 no. 6
Type: Research Article
ISSN: 2755-0907

Keywords

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