bluuebunny/crossref_metadata_2025_split huggingface dataset:
Empirical study of robotic systems implementation to corporate performance in manufacturing sector
Authors: Younis Hassan , Bwaliez Omar M. , Garibeh Mohammad Hamdan , Sundarakani Balan 
Published: October 2024

PurposeThis study aims to investigate the impact of implementing various robotic systems in logistics and supply chain management on corporate performance in Jordanian manufacturing companies, focusing on environmental, operational, economic, and social dimensions.Design/methodology/approachUsing a quantitative approach, data was collected through a survey questionnaire to measure the relationship between robotic systems and several performance dimensions. Various established constructs were employed, and the structural relationships were analyzed using partial least squares structural equation modeling (PLS-SEM) to assess the complex interdependencies within the model.FindingsThe results of this study indicate that the adoption of robotic systems has a positive influence on the environmental, operational, economic, and social performance of Jordanian manufacturing companies. In contrast to prior research that revealed inconsistencies in the social dimension, our findings align with previous studies highlighting the benefits of robotics in logistics and supply chain management. However, it’s worth noting that this study did not uncover similar inconsistencies, particularly in terms of the impact on social performance.Practical implicationsThe study provides valuable insights for manufacturing companies considering the implementation of robotic systems, highlighting the need to evaluate the environmental, operational, social, and economic consequences. This understanding can help organizations make informed decisions to leverage the benefits of robotics for sustainable growth.Originality/valueThis study contributes to the growing literature on robotics in logistics and supply chain management, specifically focusing on the unique context of Jordanian manufacturing companies. By examining the multifaceted impact of robotic systems, this study extends the understanding of the role of technology in enhancing corporate performance.
Can military-experienced CEOs improve corporate outcomes?
Authors: Nguyen Thanh Huong , Thi Thuy Nguyen Phuong 
Published: October 2024

Purpose
This paper aims to assess the role of CEOs with military experience in shaping corporate outcomes in Vietnam and provide new insights into how these unique backgrounds influence corporate financial decisions and firm performance within the specific context of an emerging market.

Design/methodology/approach
This study uses a comprehensive data set of 323 non-financial firms listed in Vietnam over 2013–2021 to examine the association between military-experienced CEOs and corporate outcomes. The authors apply propensity-score matching analysis to address potential endogeneity issues and use 2SLS estimation to show the mechanisms through which military CEOs affect firm performance.

Findings
The authors find that firms led by CEOs with military backgrounds outperform their counterparts lacking this experience. Furthermore, the findings indicate that firms helmed by military-experienced CEOs tend to make more investments and maintain lower (higher) short-term (long-term) debt levels.

Practical implications
This study provides additional evidence on the influence of military CEOs on corporate outcomes, particularly in the context of an emerging market. It underscores the positive effects of skills acquired during military service on veterans’ civilian careers, particularly in business leadership roles. The findings are valuable for managers contemplating the recruitment of veterans, highlighting the potential advantages these individuals can bring to a company. Additionally, the results may inspire younger individuals to consider military training as a means to develop valuable characteristics that can enhance their personal and professional development.

Originality/value
The authors have observed the notable success in firms led by CEOs with military backgrounds since Vietnam’s renovation period in the 1980s. Yet, to the best of the authors’ knowledge, research on the influence of military-experienced CEOs in Vietnam remains scarce. This study is the first pioneering in shedding light on the diverse contributions of soldiers to the development of the Vietnamese economy.
Predicting financial performance with intellectual capital using machine learning
Authors: Lim SangGon (Edward) 
Published: October 2024

Purpose
This study aims to apply machine learning techniques to efficiently predict leisure firms’ financial performance. Accurate financial forecasting is crucial in leisure and tourism, greatly affecting firms’ strategic decisions and competitive positioning. This study emphasizes the roles of intellectual capital to offer a nuanced understanding of how these types of capital influence firm success.

Design/methodology/approach
Using comprehensive firm-level data, this study examines several machine learning algorithms’ predictive capacity across a spectrum of industry sectors (general, manufacturing, service) to identify the most effective model and training dataset. These tools are used to evaluate financial metrics such as return on sales, return on assets and sales growth. A range of variables are incorporated into this process to enhance model accuracy and relevance.

Findings
Results demonstrate the support vector machine algorithm’s exceptional performance based on a training data set from the service sector in predicting leisure firms’ return on sales and sales growth. This algorithm is thus an efficacious strategic forecasting instrument. The variables significantly affecting firm performance include demand variation; organizational, product and technological innovation; synergistic innovation between multiple domains; salary levels; market strategy; and the number of employees.

Originality/value
By integrating advanced machine learning techniques with the strategic management of intellectual capital, this study presents a sophisticated approach to predicting leisure firms’ financial performance. Findings enrich the discourse on firm performance forecasting and offer actionable insights into strategic planning and resource allocation for practitioners in the leisure and tourism sectors.
Integrating spare part inventory management and predictive maintenance as a digital supply chain solution
Authors: Shokri Alireza , Toliyat Seyed Mohammad Hossein , Hu Shanfeng , Skoumpopoulou Dimitra 
Published: October 2024

Purpose
This study aims to assess the feasibility and effectiveness of incorporating predictive maintenance (PdM) into existing practices of spare part inventory management and pinpoint the barriers and identify economic values for such integration within the supply chain (SC).

Design/methodology/approach
A two-staged embedded multiple case study with multi-method data collection and a combined discrete/continuous simulation were conducted to diagnose obstacles and recommend a potential solution.

Findings
Several major organisational, infrastructure and cultural obstacles were revealed, and an optimum scenario for the integration of spare part inventory management with PdM was recommended.

Practical implications
The proposed solution can significantly decrease the inventory and SC costs as well as machinery downtimes through minimising unplanned maintenance and addressing shortage of spare parts.

Originality/value
This is the first study with the best of our knowledge that offers further insights for practitioners in the Industry 4.0 (I4.0) era looking into embarking on digital integration of PdM and spare part inventory management as an efficient and resilient SC practice for the automotive sector by providing empirical evidence.
Money laundering and the automobile industry: a comparative study between the laws of Mauritius and UK
Authors: Beebeejaun Ambareen 
Published: October 2024

Purpose
Motor vehicles play a vital role in the economic and social growth of any country. However, they have recently become instruments and a source of illegally obtained financial gains for criminal bodies and individuals. This study aims to assess the laws of Mauritius on AML procedures to prevent money laundering through vehicles transactions.

Design/methodology/approach
To achieve the research objective, the black letter research method was used by analysing laws, regulations and case laws on the subject matter. A desk-based and doctrinal approach was also used by examining policy papers, scholarly articles and newspaper materials on the researched topic. Additionally, the research adopted a comparative analysis by assessing how the laws of another country address the issue of money laundering through vehicle transaction and the selected country is the UK.

Findings
The research concluded that Mauritius AML laws are lagging behind of the UK laws and accordingly, some measures were suggested to deal with the issue of money laundering through vehicles transactions. Accordingly, this research recommended that motor vehicle dealers who are high value dealers engaged in cash transactions above certain threshold, must also be categorised as reporting persons under the FIAMLA such that the prescribed AML measures apply to them. Additionally, it is convenient for the FCC to be embodied with some additional punitive and corrective powers to assist the Commission in its fight for the prevention and elimination of financial crimes in Mauritius.

Originality/value
At present, this study will be among the first academic writings on the intersection between money laundering and the automobile industry and on the effectiveness of the legal and regulatory measures undertaken by the Mauritian authorities to prevent money laundering through vehicles transactions. The study is carried out with the aim of combining a large amount of empirical, theoretical and factual information that can be of use to various stakeholders and not only to academics.
The mediating effect of greed on the relationship between strategic entrepreneurship and entrepreneurial success: does gender of the entrepreneur matter?
Authors: Esubalew Amare Abawa , Adebisi Sunday Abayomi 
Published: October 2024

PurposeUnderstanding the factors that drive entrepreneurial success is crucial, and the role of greed in this context remains controversial. This study investigates how strategic entrepreneurship (SE) influences success, with greed as a mediating factor.Design/methodology/approachUsing survey data from 127 respondents, we applied exploratory factor analysis (EFA), confirmatory factor analysis (CFA) and structural equation modeling (SEM).FindingsThe findings indicate that while SE enhances success, greed hinders it. Notably, greed does not significantly mediate the relationship between SE and success, and its impact is not gender-sensitive.Research limitations/implicationsThese insights contribute to the broader understanding of entrepreneurial dynamics and suggest that future research should explore additional moderating factors such as cultural background, industry type and organizational size.Originality/valueThis research broadens the understanding of the impact of greed on entrepreneurial success, an area that has not been extensively studied. It also uniquely explores the moderating role of gender in the relationship between SE and greed, offering fresh theoretical and practical perspectives on the factors influencing entrepreneurial success.
Embedding reflection sessions in (inter)cultural awareness trainings: value and learning outcomes based on workshops for health and social care professionals
Authors: Arafat Nahed Munir , Woodin Jane , Tavares Amanda Savioli Marques 
Published: October 2024

Purpose
This article discusses the importance of the relationship between cultural awareness (CA) training and post-training reflection in the health-care sector, and considers the implications for future developments for CA training in relation to content, audience, process and format.

Design/methodology/approach
A total of 77 health and social care professionals (HCSPs) took part in a 4-h CA training, 25 of whom also opted for an additional optional reflection hour. The results reported on in this paper are drawn from the experiences of the 25 participants in the optional reflection sessions (RSs), using a thematic analysis approach.

Findings
Participants highly valued the “safe space” in both the CA workshop and the optional follow-on RS, enabling them to share experiences, revisit topics and feel supported to put things into practice. They also reported a growing confidence in dealing with intercultural challenges, in particular in asking questions and being curious about topics they did not understand.

Originality/value
This research points towards a strong recommendation for open-ended CA training, allowing participants to articulate their experiences, fears and concerns. It also highlights the importance of a follow-on RS as an integral part of CA training; both of these were found to offer opportunities for strengthening HSCPs’ skills and facilitate the transition of learning from the workshop context into the workplace, with the ultimate aim of reducing inequalities in the quality of patient care.
An exploration of the service and crime prevention performance of the municipal police departments of Taiwan’s counties: the perspective of broken windows theory
Authors: He Dong-Sing , Wang Tse-Sheng 
Published: October 2024

PurposeThis study aims to evaluate the service and crime prevention performance of law enforcement agencies in Taiwan’s municipalities. By analyzing these performances, the study seeks to improve the efficiency of police services through appropriate resource allocation, ultimately achieving enhanced crime prevention.Design/methodology/approachThe study utilized a two-stage data envelopment analysis (DEA) to construct performance metrics. In the first stage, the service performance of the police force was measured using the number of police officers and police stations as inputs and the number of patrols and temporary patrol boxes as outputs. In the second stage, crime prevention performance was assessed with the number of patrols and temporary patrol boxes as inputs and cases of violence, injury, intimidation and theft as outputs. Additionally, a truncated regression model was employed to analyze the impact of environmental variables such as per capita income, population density, proportion of the population with higher education and the unemployment rate on crime prevention performance.FindingsThe study found significant variations in both service and crime prevention performance across different municipalities. By identifying the most efficient and inefficient units, the analysis revealed critical insights into resource utilization and areas needing improvement. The regression analysis indicated that environmental factors such as higher per capita income, population density, education level and unemployment rate significantly affect crime prevention performance.Originality/valueThis research provides a novel approach to assessing police service efficiency and crime prevention effectiveness using a two-stage DEA model. By incorporating environmental variables through truncated regression, the study offers a comprehensive evaluation framework that can inform policy decisions and resource allocation strategies. This methodology not only highlights the performance metrics of law enforcement agencies but also underscores the influence of socioeconomic factors on crime prevention, contributing to the broader literature on public safety and resource management.
Enhancing service quality in the insurance industry with AI-powered humanoid chatbots
Authors: Patil Kanchan Pranay , Kulkarni Mugdha Shailendra , Hudnurkar Manoj 
Published: October 2024

PurposeThis study aims to explore the potential of artificial intelligence with AI-powered humanoid Chatbots (AIPHC) as transformative tools to improve customer service quality in the insurance sector. The usability and efficiency of integrating advanced AI chatbots that can replicate human-like interactions in insurance services will be examined by taking into consideration customers’ technological readiness and chatbots’ anthropomorphism.Design/methodology/approachThis empirical study analysed 688 customer responses collected through purposive sampling using structural equation modelling. With the help of SmartPLS 4.0, the study determines whether anthropomorphism, that is AIPHC system-specific and customer personality-specific dimensions, can influence the acceptance of AIPHC in the insurance sector.FindingsThe results show that the chatbot’s anthropomorphism positively influenced customers’ optimism and innovativeness but negatively impacted discomfort and security. Further optimism and innovativeness favourably impact AIPHC adoption. Insecurity had a significant negative impact, while discomfort was insignificant for AIPHC adoption.Research limitations/implicationsThe study determines how people will react to AI-powered information systems. The results could help us better understand how the technological readiness of customers can be used in emphasizing the significance of system-specific theories like anthropomorphism in sectors like insurance, where customer interactions and delivery of quality services are important.Practical implicationsThe results highlight chatbots’ potential to raise the quality of service, simplify processes and enhance customers’ overall experiences in the insurance sector. This study contributes to the continuing discussion on using AI technologies in customer service by considering the interplay between technology readiness and anthropomorphism. It also provides insightful information for insurance professionals and technology developers.Social implicationsAnthropomorphic humanoid chatbots can increase the availability, affordability and accessibility of essential services. They have the potential to increase users’ competence, autonomy and—possibly counterintuitively social relatedness.Originality/valueThis empirical research explores the link between anthropomorphism and technology readiness to enhance service quality provided by AI powered chatbots in the insurance sector.
Perceived effectiveness of celebrities and online influencers in advertising endorsement among Malaysian young adults
Authors: Li Qiqi , Chan Kara 
Published: October 2024

Purpose
With the emergence of social media, online influencers have played a major role in brand marketing. This study aims to examine how Malaysian young adults perceive advertising endorsements of celebrities and online influencers within the framework of parasocial relations and multiculturalism.

Design/methodology/approach
This study engaged 42 Malaysian young adults aged 18–24 in semistructured interviews. They were asked to share a television commercial with celebrity endorsement and explain why it was impressive. They were then asked explicitly to compare traditional celebrities and online influencers in terms of attractiveness, credibility and endorsement effects.

Findings
Advertising execution strategies and emotional attachment to advertising endorsers are the two main reasons for making an advertisement impressive. Interviewees demonstrate strong emotional attachments to celebrities who are national icons. Online influencers are perceived as more relatable, authentic and credible than traditional celebrities. Interviewees perceive that endorsements by traditional celebrities were more effective for luxurious brands and brands targeting older consumers. On the other hand, endorsements by online influencers were perceived to be more effective for low-involvement product categories and brands that target younger consumers.

Research limitations/implications
This study presents a summary of the parallel perceptions of online influencers and celebrities to explain how young consumers evaluate advertising with celebrity and social media influencer endorsement.

Practical implications
Malaysian young adults perceive endorsers as people who guide their experiences with ads. Adopting an endorser who is young, has a trendy image, and has a similar cultural background enhances the relatability of ads for young adults. National sports heroes can serve as nation-building agents through celebrity endorsement in advertising.

Originality/value
Few studies directly compare the endorsement effects of celebrities and online influencers in a multicultural setting. This study provides marketing and theoretical insights to unravel the influencing mechanism of parasocial relations and multiculturalism.
Circulating CD31 and resistin levels reflect different stages of coronary atherosclerosis in patients with psoriasis
Authors: Huynh Trang Nguyen‐Mai , Yamazaki Fumikazu , Konrad Robert J. , Nishikawa Yumiko , Tanaka Akihiro , Son Yonsu , Ozaki Yoshio , Takehana Kazuya , Tanizaki Hideaki 
Published: October 2024

AbstractPsoriasis is a skin disease with a complicated pathophysiology that includes an extensive inflammatory cytokine network. Nevertheless, the relationship between psoriasis severity, cytokine levels, and coronary artery atherosclerosis remains poorly understood. Our aim was to find serum markers as potential candidates for cardiovascular disease (CVD) risk monitoring in patients with psoriasis. Therefore, we examined coronary artery atherosclerosis via coronary computed tomography angiography (CCTA), serum cytokine levels via multiple immunoassays, and the patients' psoriasis state. Our findings reveal for the first time that the mainstream psoriasis cytokines interleukin 17A (IL‐17A), IL‐19, and IL‐36 in the sera of Japanese patients with psoriasis showed a linear regression association with the Psoriasis Area and Severity Index score. Furthermore, the serum level of IL‐19 was remarkably correlated to Th2‐related serum cytokines such as IL‐4 and IL‐17E. When we investigated potential markers to monitor CVD in patients with psoriasis, circulating cluster of differentiation 31 (CD31) and resistin, but not psoriasis‐related cytokines, were expressed differently at each stage of coronary atherosclerosis by CCTA. CD31 and resistin levels rose dramatically in individuals with psoriasis vulgaris (PV) and noncalcified atherosclerosis. In contrast, CD31 was negatively correlated with the coronary artery calcification score (CACS) in patients with PV, whereas resistin was inversely correlated with CACS in patients with psoriatic arthritis. In conclusion, the axis of IL‐17A, IL‐19, and IL‐36 remains associated with the severity of psoriasis during the chronic phase of the disease, regardless of the application of topical or systemic treatment. Monitoring the levels of these cytokines can accurately determine the severity of skin inflammation. Resistin and CD31 are linked to coronary artery lesions and might be good candidates for tracking the progression of coronary atherosclerosis in patients with psoriasis.