Industry Staff Research Articles

Creating group work-integrated learning experiences for non-clinical health degrees: A practitioner reflection

Work-Integrated Learning (WIL) experiences, integral for equipping students with the skills and knowledge crucial for employment and success in their chosen careers, have traditionally been associated with accreditation requirements in professional programs. More recently, acknowledging the importance of WIL experiences in non-professional programs has grown. In this reflective paper, the experiences of the practitioner tasked with developing a new WIL capstone course for students in Health and Biomedical Science degrees are described. Grounded in social exchange theory, where interactions are viewed as exchanges aimed at maximising rewards while minimising costs, the intent was for student groups to engage with a range of authentic project experiences offered by industry, community, and academic staff (the WIL partners). Critical elements were the active involvement of a diverse array of partners and the importance of relationship building for the long-term sustainability of the project experiences. I discuss and reflect on the specific strategies employed to engage the WIL partners, inspiring them to collaborate and develop meaningful projects suitable for students pursuing various career paths. Additionally, I reflect on the invaluable experiences and feedback provided by our partners.

Predicting the Quiet Quitting Intention Among the Generation Z Workforce in Hotel Industry

ABSTRACT This research examined the factors leading to burnout and job embeddedness, and consequently, to the quiet quitting intention among young hotel staff in China. These determinants included employee engagement, affective organizational commitment, quality of work life, and work overload. The data were gathered through an online survey and 585 valid responses were obtained. Partial least squares structural equation modeling (PLS-SEM) was applied to assess the connections. The results indicated that affective organizational commitment and quality of work life had a significant positive impact on job embeddedness, whereas employee engagement, affective organizational commitment, quality of work life, and work overload had a significant negative effect on job burnout. Additionally, higher levels of job burnout and lower levels of job embeddedness are associated with a greater quiet quitting intention among Gen Z staff in the Chinese hotel industry. For this reason, hotel management should emphasize employee engagement, affective organizational commitment, quality of work life, and maintaining a manageable workload to enhance job embeddedness and reduce job burnout and quiet quitting intention among Gen Z staff in the Chinese hotel industry.

Impact of high-speed rail on wage premiums for migrant workers in China

The extensive high-speed rail (HSR) network in China has significantly enhanced regional population mobility, yet its impact on the well-being of migrant workers remains underexplored. Utilizing data from the China Migrant Dynamic Survey (CMDS) from 2014 to 2018, this study investigates the influence of HSR on wage premiums for migrant workers and identifies the factors driving these premiums using the non-parametric nearest neighbor matching method. The findings reveal that HSR confers a significant wage premium of 13.1% for migrant workers in cities with HSR infrastructure compared to cities without it. This wage premium effect is particularly pronounced in less developed western China and in cities with larger populations and a higher proportion of tertiary sector economy. The study finds a 10.54% increase in wage premiums for intra-province migrant workers due to HSR, while the effect remains negligible for inter-province migrant workers. Moreover, the wage premium effect is stronger for higher-skilled labor and for migrant workers aged 16 to 45. It is particularly significant for professionals, administrative staff, and workers in the service industry. The HSR wage premium effect is multifaceted, exhibiting both level and growth effects, with the latter intensifying over time after HSR introduction. Overall, the findings suggest that HSR deployment positively influences migrant worker wages by enhancing travel convenience, improving market access, fostering knowledge spillovers, and facilitating industry transfers. However, these impacts vary by location, skill level, and industry.

Impact of Intellectual Capital on Organizational Performance: Mediating Role of Green Supply Chain Management Practices

The major purpose of this study was to look empirically at the missing mediating role of Green Supply Chain Management (GSCM) practices in the relationship between intellectual capital(IC) and organizational performance(OC). Using concept from the resource-based view (RBV) theory, in the complex context of Pakistan's construction sector, the integration of Green Supply Chain Management (GSCM) processes is not just a choice, but a must for attaining sustainable growth. The main objective of GSCM is to mitigate negative environmental impacts and improve operational effectiveness. For this, a sample of 327 employees was gathered from the managerial staff of the construction industries by using a nonprobability purposive sampling technique, as only respondents engaged in SCM and GSCM activities were contacted. The hypotheses were put to the test using Smart PLS-SEM version 4 via reliability, validity statistics, and mediation analysis using the Hayes and Preacher model. Overall, the results imply that intellectual capital is significantly contributing to improving OC. Also, results revealed the partially mediating role of GSCMP in the association between intellectual capital and organizational performance. This study also highlights the GSCMP approach for creating sustainable competitive advantage, which highlights various implications for prospective academicians and practitioners.

Exploring intrinsic factors that affect quality job and turnover intention in the Chinese educational services industry

Organizations must attain a sustainable competitive advantage via the workforce. Active employee engagement can foster motivation and provide intrinsic job satisfaction. This study aims to analyze the impact of prospective intrinsic factors on the turnover intention of academic staff in the educational service industry in Anhui, China. A quantitative study method was devised using the Daniel Pink’s theory with a survey questionnaire consisting of 51 items. The study used a 5-point Likert scale. Nonprobability sampling with the snowball method was exercised for 403 fully completed responses for data analysis using the SPSS program version 23. The Pearson correlation analysis revealed a significant and robust inverse relationship between employee turnover intention and all of the independent variables examined (r² = 55.06 for managerial behavior empowerment, r² = 54.76 for psychological empowerment, r² = 54.46 for career growth opportunity, r² = 63.84 for organizational commitment, and r² = 27.46 for compensation). The multiple regression analysis was subsequently implemented. The model evaluation yields an adjusted R² value of 0.685, signifying that the independent variables collectively account for approximately 69% of the variance in the dependent variable, except for compensation, which exhibits a significant positive correlation with turnover intention. However, it is impossible to disregard the impact of compensation as the silence factor. Appropriate delivery of this baseline reward is necessary to ensure that it satisfies the fundamental requirements of the employee and fosters intrinsic motivation. Acknowledgment This study received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.

Robotic Bartender Control Using DC and Servo Motor withThe Aid of Rectifier as Power Source

The studyfocuseson building a design and implement of robotic bartender with rectifier power source and embedded with volt-amp display to monitor supply voltage and load current. The usage of robotic bartender in the market make ease to the worker staff in food and beverage industries so that they can prepare drinks to customer in shortof time. For this paper, the design of robotic bartender is constructed using 3D printed components and use Arduino UNO as microcontroller to control input signal of rotary encoder and switches to commodore DC Motor rotation and servo motor deflection. The prototype of robotic bartender will be constructed, programmed with C language, tested with Proteus simulation software and hardware will be tested by using tachometer laboratory equipment for speed testing. Lastly the overall system is powered by rectifier with embedded volt-amp display for convenient use. Ironically the development of robotic bartender hardware is to fulfil two objectives which are to propose a new model of robotic bartender compatible with DC motor and servo motor and objective two to design and assemble rectifier circuit power supply with embedded volt-amp display meter to energize motor load

Exploring the interplay of financial literacy and financial well-being: Insights and strategies for augmenting overall financial satisfaction

This study investigates how financial literacy affects the financial health of Saudi Arabian banking industry workers in Saudi Arabia. The study uses a sample of 183 individuals and a comprehensive framework that includes components like financial behaviour, risk management, financial planning, financial knowledge, financial confidence, financial communication, and overall financial pleasure. The study finds strong positive correlations between many aspects of financial well-being and financial literacy through correlation and regression analysis. Notably, risk management, financial behaviour, overall financial contentment, and financial confidence are all positively impacted by financial literacy. The results underscore the multifaceted character of financial well-being and underscore the critical function of financial literacy in moulding favourable financial consequences. Furthermore, the study pinpoints particular domains in which focused financial literacy initiatives might be executed to augment the general financial welfare of banking industry staff members. The study sheds light on the relationship between financial literacy and well-being in a particular occupational context, which is significant information for both the academic and practical domains. The banking industry needs customized financial education programs because of the social and management ramifications. These programs will help the community’s overall financial health in addition to providing benefits to individual employees. In its conclusion, the study makes recommendations for other research directions, such as longitudinal studies and examinations of the function of digital financial literacy in the changing banking environment.

Responding to and managing multijurisdictional outbreaks of COVID-19 in Canadian industrial worksite/work camp settings.

Early in the COVID-19 pandemic, the Public Health Agency of Canada(PHAC) and provincial/territorial(P/T) public health identified the need for a coordinated response to complex multijurisdictional COVID-19 outbreaks. The first large multijurisdictional industrial worksite COVID-19 outbreak highlighted the risk of transmission within these congregate work settings, the risk of transmission to the broader community(ies), and the need to develop setting-specific outbreak response frameworks. PHAC assembled a team to provide national outbreak support for multijurisdictional COVID-19 outbreaks in May 2020. The COVID-19 Outbreak Response Unit (ORU) worked with P/T partners to develop guiding principles for outbreak response and outbreak investigation processes, guidance documents, and investigation tools (e.g., minimum data elements and questionnaires). The ORU, P/T partners, and onsite industrial worksite health and safety staff leveraged outbreak investigation guidelines, industrial worksite outbreak process documents (including minimum data elements), and enhanced case questionnaires to respond to multiple COVID-19 outbreak investigations in industrial worksites. Clear roles/responsibilities and processes, along with standardized data, allowed for more efficient outbreak investigations and earlier implementation of mitigation measures. Multijurisdictional COVID-19 outbreaks highlighted the importance of public health collaboration with industry partners onsite. The assembly of a national outbreak response team was important to facilitate information sharing and provide technical support. Lessons learned and recommendations on outbreak preparation, detection, management, and communication are included to enhance a response framework applicable to future emerging or re-emerging pathogens with epidemic and/or pandemic potential.

The Use of Artificial Intelligence in Employee Recruitment in the Furniture Industry of Iran According to the Role of Contextual Factors

Abstract The present research aims to analyze the effect of contextual factors affecting the application of artificial intelligence technology in employee recruitment in the furniture industry of Iran, which is a practical purpose and has been carried out in a descriptive-surveillance manner, to find out the reasons, facilitators and limitations of its use with the presented conceptual model. Make this technology understandable to organizations during employee recruitment. To measure and analyze the effect of these factors, a questionnaire was used as an information-gathering tool, which was given to 250 senior managers and middle managers of companies active in the furniture industry of Iran. The results of the analysis of the information obtained in two descriptive and inferential parts, according to the data analysis algorithm in the method of structural equations and Smart PLS software, confirmed the hypotheses of the research and showed that the effective background factors include: technological factors, organizational and environmental have a positive and significant effect on the use of Artificial intelligence in the furniture industry in Iran, and the use of artificial intelligence as a competitive advantage improves the organizational capabilities of recruitment and recruitment (based on data, process, staff) in the furniture industry. Forgives. Also, it makes it easier to carry out “blind” Recruitment of employees processes and review frequent applications, and by simplifying the application analysis process through applicant tracking systems, it can save time and money in human resources processes and reduce discrimination in choices.

Research on influences of education and financial literacy on commercial insurance purchase in China

Purpose With the rapid development of the economy in China, the wealth of residents has continued to increase, and most families have gradually been aware of the importance of commercial insurance. The family purchase of insurance in China was still not optimistic. Many scholars focus on wealth allocation, but the attention to the commercial insurance market was still less. Based on previous research studies, this study aims to investigate the impact of education and financial literacy on the commercial insurance purchase in China. Design/methodology/approach China Household Finance Survey data was used to investigate the purchase of commercial insurance in Mainland Chinese families. Factor analysis was used to construct financial literacy, and the education data were combined to analyze the commercial insurance purchase using the Probit model and the Tobit model. Finally, the contributions of education and financial literacy to commercial insurance purchases were analyzed. Findings Both education and financial literacy exerted a positive impact on the purchase of commercial insurance in China. Individual characteristics such as gender, age, marital status, risk attitude, purchase of social insurance and consultation with a financial advisor possessed significant effects; household factors like household size and assets, macro factors such as the density of financial institutions and the density of financial industry staff, and regional factors as local unemployment rate excreted influences on the commercial insurance purchase. Originality/value Based on the current economic development in China, this study investigated and expressed opinions on the public and insurance companies regarding commercial insurance purchases. It accentuated financial literacy and education as factors that facilitated commercial insurance development.

Covid-19 impact on future study choices: Will students consider a tourism qualification post the pandemic?

The Covid-19 pandemic devastated various industries, with the tourism sector suffering the most. The tourism industry, which relies mainly on the movement of people, was interrupted for several months as governments instituted restrictions and regulations to prevent further spread of the virus. These restrictions put the industry at a standstill, putting much strain on the economy. With businesses closing, many people became unemployed, and those who remained had their salaries and wages reduced. The high unemployment rate in the country, worsened by Covid-19 and other external forces, presented challenges to exit-level tourism students. The current study investigated the effects of the Covid-19 pandemic on the future of studying towards a tourism management qualification. A qualitative research approach was adopted where the exit-level tourism students at a university of technology were purposively selected to participate in semi-structured interviews. Thematic and constant comparative analysis methods were used to analyse the emerging themes and compare the responses from the participants. The study revealed mixed feelings about the tourism management course. While others regretted enrolling to the tourism program, some remained optimistic that the industry would reopen and recover and present better opportunities for them. Prospective tourism industry staff, particularly tourism management students, have become uncertain about the likelihood of getting job opportunities in the industry. This raises a question about how the pandemic has influenced the future of studying tourism management in higher learning institutions. The study contributes to the understudied phenomenon of the impact of the Covid-19 pandemic on influencing future enrolments in tourism courses.

Insights from the pandemic: an autoethnography of nursing clinical placement teams

Background Designated placement staff, including academics, professional clinical support teams and stakeholder clinical teams, are responsible for organising students' clinical placements. Disciplines have reported sustained innovations in the way placement staff work following the pandemic. There are few published reports from nursing placement staff. Aim: Understand how challenges during the pandemic, may have led to disrupting the status quo for nursing placement staff. Design Nine academic, professional and industry nursing placement staff reflected on their daily work practices and team culture post the pandemic disruptions. The reflections were analysed using a descriptive thematic approach. Results Staff described “a double-edged sword” balancing fatigue from the dynamic situation increasing their workloads with wanting to seize opportunities to challenge the status quo. Three themes were identified. Conclusion Clinical placement staff shared reflections are useful for identifying workplace initiatives that may enhance nursing and other disciplinary placement staff team culture and ways of working.

Machine Learning Model for Prediction of the Chemicals Harmfulness on Staff and Guests in the Hospitality Industry: A Pilot Study

This article examines the trend around the adoption of machine learning in the hotel business in light of the significance of new technologies. According to previous research, the hospitality industry uses a variety of chemicals for cleaning. Cleaning supplies are the housekeeping department's primary tool in their daily routine to keep rooms and common areas clean and tidy. Guest and staff don't know the harmfulness of these chemicals. Providing hospitality that meets the needs of guests requires not only a positive attitude, but also high-quality and excellent services that keep guests warm, relaxed, and comfortable. But in some incidents, we find that the guest and staff health is affected by the chemicals. Also, no one worked on predicting the chemical's effects on staff and guest health in the hospitality sector with the use of Machine Learning models. For this purpose, data is collected from different hotels of Delhi NCR in India. There were two distinct fields utilized for assessment and instruction. For the investigation, machine learning methods were employed. The research project employed five machine learning methods. The newly developed MHC-CNN algorithm achieved the highest accuracy (93.75) in comparison to other cutting-edge machine learning techniques. The created technique can be expanded upon and applied in many hotels all around the world.

Confrontation and Avoidance of Uncivil Behaviors in the Workplace: Empirical Evidence From the Tourism Industry

This study examines factors hindering employee engagement, focusing on perceived workplace incivility and its relationship with work engagement. It also presents the mediating and moderating roles of emotional responses and coping mechanisms in the workplace to determine “why” and “when” employee engagement is destabilized. The cross-sectional study used 391 samples from the hotel industry; data were collected from the crew staff via self-administered questionnaires and analyzed using Smart PLS. The study’s outcome draws attention to perceived workplace incivility and its significant negative impact on work engagement. The results also reveal that employees’ emotional responses and coping mechanisms play significant mediator and moderator roles in the relationship between workplace incivility and work engagement. In terms of theoretical background, the study makes a novel theoretical contribution by applying Affective Events Theory (AET) when employees confront incivility that triggers emotional reactions and then shows how those reactions lead to adverse work outcomes and behaviors. The study outcomes have significant implications for strategic hotel industry staff and policymakers and provide insights for future researchers. Hotel management might consider this study helpful for generating a crew-supportive work environment and stabilizing employee engagement.

Design education outside the classroom. A comparative study between two case studies with industry-university collaboration

This paper presents the findings of a research study focused on industry-university collaborations within the design studio culture. The study utilized a mixed-methods approach, including a literature review and case studies, to investigate and identify lessons learned from university-industry collaborations for interior design students. Two industry-university collaborations within AU were selected as case studies based on their relevance to the design courses offered in the BSID program. The case studies employed a mixed-methods approach, involving non-participant observations, students’ reflection reports, and semi-structured interviews with instructors and industry staff members. This research contributes to the understanding of industry-university collaborations within design studio culture and provides valuable insights for instructors, universities, and industry partners seeking to engage in such collaborations. By highlighting the experiences of instructors at AU, we aim to provide insights into the benefits and challenges of industry-university collaborations for universities that are new to such partnerships. The findings include the importance of embracing exposure and new partnerships, providing real-world experience, balancing autonomy and dependence, understanding the limitations of scope, considering the scale and limitations, navigating bureaucratic procedures, mitigating conflicting interests, adhering to regulations and guidelines, emphasizing positive social impact, and learning from limitations.

Probing for the Energy-Conserving Load Rates of the Asynchronous Motor by Harnessing the Efficiency and Power Factor Synergy

In the light of the energy saving drive and environmental concerns in today’s world, the technical and procurement staff of industries are encouraged to invariably take into consideration, motor efficiency as well as power factor in their motor load analyses prior to embarking on motor installation/replacement decisions. It is believed that with this practice, which hinges on a tradeoff between loading at high operating power factor and loading at high operating efficiency, the motor-driven business may stand a better chance of being run greener and more economical. This article proposes a method that engineers in research or in charge of the operations and maintenance of the 3-phase squirrel cage induction motor (SCIM) in business, may deploy to arrive at the energy efficient load range/rates for the machines of interest. The method was developed with the aid of the following motor curves viz: the load/efficiency curve, the load/compensated power factor curve as well as the load/kilovolt ampere reactive (KVAR) curve; and demonstrated on three different SCIM ratings, to determine their respective most energy efficient bounds of loading. Field data, z-score analysis and the power loss simulations were used for validating the proposed method. The energy efficient load range/rate was found to be machine-specific and the width of this load range seemed to be jointly governed by the high efficiency span of the load-efficiency curve as well as the load-wide profile of the power factor over the most part of the SCIM loading, up to full load. The mean optimal loading for the machines investigated, ranged from 66% - 73%, with standard deviations not exceeding 15.85%.

Influence of knowledge creation on organizational competitive advantage in the telecommunication industry in Kenya

The knowledge-based theory of organizations affirms that knowledge creation explains why some organizations appear superior in the market. Various models have been developed to explain the concept of knowledge creation or generation at a personal, team or organizational level. The general objective of this study was to establish the influence of knowledge creation on organizational competitive advantage in the telecommunication industry in Kenya. This study used a cross-sectional survey research design. The study sampled 100 knowledge management staff in the telecommunication industry in Kenya. Respondents were selected using random sampling technique. Questionnaires were used to collect data. The association between knowledge creation and competitive advantage was examined using correlational analysis. The study revealed that knowledge-creation practices account for 32.2% of the competitive advantage of telecommunication firms. According to the findings in this study, socialization has a statistically significant association with organizational competitive advantage. Results also showed that externalization statistically correlates with organizational competitive advantage. Additionally, it was established that combination has a statistically significant association with organizational competitive advantage. This study determined that Internalization has a statistically significant association with an organizational competitive advantage. It was concluded that knowledge creation significantly positively affects organizational competitive advantage. Organizational knowledge can be created through socialization, externalization, combination, and Internalization. These practices show a significant positive association with an organizational competitive advantage.

Evaluating the Impact of Workplace Friendship on Social Loafing in Long-Term Care Institutions: An Empirical Study

In light of the aging population and the rapid growth of people with mental and physical disabilities, the demand for long-term care has increased significantly. In order to meet the massive need for long-term care, the government of the Republic of China has accelerated the training of manpower for care services, and the number of qualified staff and institutions in the long-term care industry has increased accordingly. Although the need for long-term care employees has increased, they face problems such as low pay, low levels of decent work feelings, and high work pressure. Moreover, the increase in employee numbers in the organization does not improve the overall efficiency of long-term care workers. Instead, it has a social loafing effect. Not only in Taiwan, but other countries worldwide, such as Japan, Korea, Singapore, Hong Kong, and the United Arab Emirates, are experiencing a staff shortage, a lack of training, and social loafing in long-term care institutions due to the aging of their populations. Therefore, in this study, workplace friendship as the independent variable, organizational commitment and psychological safety as the mediating variables, and service climate as the moderating variable were used to investigate the effects of social loafing on the employees of long-term care institutions in Taiwan. The results showed that workplace friendship between employees positively and significantly affects organizational commitment and psychological safety. Moreover, organizational commitment and psychological safety will negatively and significantly affect their social loafing. Second, organizational commitment and psychological safety have mediating effects between workplace friendship and social loafing. Furthermore, the service climate of employees in long-term care institutions will positively moderate the impact of their workplace friendship on psychological safety. The results will be provided to those in charge of the long-term care service industry, training institutions, long-term care business-related organizations, and government agencies, as well as for reference in subsequent studies.

US healthcare facility management workforce trends: a comparison with demographics, compensation and tenure of facility management professionals in nonhealthcare industries

PurposeThe purpose of this study was to better understand the state of the healthcare facility management (FM) workforce and trends and how it compares to the nonhealthcare industries.Design/methodology/approachA survey was developed, based on relevant literature, regarding respondents’ gender, race, age, educational attainment and job tenure. The survey was sent electronically via Qualtrics® system in February 2021 to members of the International Facility Management Association membership; 3,557 individuals completed the survey by April 2021, for a 29% response rate. Only data from 1,407 US respondents working in facility operations were included in this study. Of the 1,407 respondents included in this study, 89 worked in the healthcare industry. The majority of respondents not working in healthcare industry (1,318) were employed in government, education or banking and investment.FindingsThe demographics of facility managers in the healthcare industry are similar to the demographics of facility managers in other industries: the majority of the FM workforce is male, middle-aged, white, college educated and employed in-house. While healthcare and nonhealthcare facility managers have similar responsibilities across job levels, compensation for entry-level FM roles in the healthcare industry is significantly lower than for entry-level FM roles in other industries. This low pay in healthcare FM, compared to other industries, may exacerbate ongoing challenges related to talent recruitment and retention and justify pay banding increases to improve attraction of top talent into healthcare FM. Both healthcare and nonhealthcare industries hire new college graduates for entry-level FM jobs, but the healthcare industry is more likely to hire individuals who majored in liberal arts compared to other industries more likely to hire individuals who majored in subjects related to the built environment such as FM and engineering. To compensate for low entry-level pay, healthcare organizations may be focusing recruitment efforts on liberal arts students who have little to no training in the built environment because they have lower pay expectations. Older healthcare facility professionals also have shorter job tenures with their current employers than do older facility professionals in other industries; this trend appears to be recent and not be related to pay or the COVID-19 pandemic. A surge of senior-level FM retirements may be creating advancement opportunities for older entry- and mid-level FM personnel in healthcare; if this situation is a factor, research should be conducted to understand its implications for recruiting and developing healthcare FM talent.Research limitations/implicationsOnly data from US respondents who were working in healthcare facility operations at the time of the study were included in the data analysis.Originality/valueHealthcare organizations can use the study’s findings to help address FM workforce challenges unique to their industry staff recruitment, retention and succession planning.

How China's Small and Medium-Scale Manufacturing Industry Can Revive in the Post-Epidemic Era

The recovery of SMEs in the manufacturing sector is significant to rescuing China's real economy. Some researchers have analyzed the difficulties and causes of SMEs in the manufacturing industry in the post-epidemic era from the whole production supply chain and proposed countermeasures at the enterprise level. Still, there needs to be more in the actual situation of SMEs and government intervention. Therefore, this study uses questionnaires and interviews to analyze the data of SMEs in the manufacturing industry and related government staff in Henan Province and Hebei Province. It is found that the disruption of raw material supply, the reduction of the demand side, and the sluggish business environment brought by the epidemic have caused SMEs to face difficulties such as increased operating costs, capital and logistics chain exercise, etc. The government can recover the manufacturing industry as soon as possible in the post-epidemic era by reducing taxes, providing subsidies, and other financial support by the government in conjunction with improving financing capacity and digital transformation by SMEs.