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The purpose of this study is to investigate existing and emerging technology-driven stressors using the transactional model of stress and coping (TMSC).

In-depth semi-structured interviews with 36 professionals were performed to obtain qualitative data to explore emerging techno-stressors. The findings were validated a year into the pandemic with human resource (HR) professionals.

The authors identify a previously unreported techno-stressor, Techno-Isolation (TIS), which arises from a heavy dependence on information communication technologies for professional social interactions. Additionally, several considerations of interaction characteristics are identified that, based on the platform used, affect the experience of TIS, further expanding the TMSC with the addition of medium-interaction compatibility. The authors present a testable model and discuss implications.

This study identifies three new information communication technology (ICT)-based antecedents leading to a new techno-stressor, as well as the importance of medium-interaction compatibility in the experiences of stressors as strains. The authors discuss how these elements fit with and extend the existing stress literature.

This study aims to evaluate the impact of the proposed CARICOM Octagon “High In” Warning Label (OWL), against four alternative Front-of-Package Nutrition Labels (FOPNLs): US “Facts Up Front” (FUF), UK Multi-Traffic Light (MTL), Mexican OWL and the Brazilian Magnifying Glass “High In” Warning Label, on respondents’ purchase intentions, perception of healthiness and understanding of nutritional information across and within food products.

In an online randomized control experiment, adults from eight CARICOM countries (n = 948) were randomly assigned to a control and four treatment FOPNL groups. Respondents were tasked to choose between four categories of mock products with three variations in healthfulness across and within products.

No statistically significant difference (p > 0.05) was found across FOPNL groups compared to the OWL on outcomes of purchase intentions and perception of healthfulness. Regarding the understanding of nutritional information, FUF performed the best, as participants were 1.76 times (p = 0.03) and 3.23 times (p = 0.00) more likely to correctly identify the products with the highest and lowest amount of sugar, respectively. Results were similar for products with the lowest sodium (odds ratio [OR] = 2.25, p = 0.00) and highest saturated fats (OR = 2.11, p = 0.00).

Some limitations of this study include the use of an online platform to conduct the experiment. Though this was the most cost-effective method of execution and presented many benefits, there were limitations to using this approach. Firstly, this approach may not entirely replicate the real world in store purchasing settings. Although online grocery shopping is becoming increasingly popular, in the Caribbean, most grocery purchases are made in stores. Furthermore, online surveys are more likely to lead to samples with higher educational and income levels than the average population (Bethlehem, 2010). The skewedness observed was not unique to this study and was common with similar published studies (Franco-Arellano et al., 2020; Packer et al., 2021; Talati et al., 2018). Nevertheless, all respondents were randomly assigned to groups, and it was confirmed that there were no systematic differences in the education and income levels of participants across the FOPNL groups.

Some CARICOM policy makers advocate for the use of “High In” warning labels to limit the intake of nutrients of concern (NOCs) and to encourage healthier eating habits among consumers. However, regional private sector stakeholders have expressed concern about the lack of sufficient research undertaken at a regional level, to inform the effectiveness of this model within CARICOM, and some have also expressed a preference for the use of other interpretative and reductive FOPNLs, already in use in the Region. The results of this study reveal that while interpretative FOPNLs like the Draft CARICOM Regional Standard, DCRS5 (OWL) can assist consumers in making healthier purchase decisions, it was outperformed by the MTL on perception of healthiness and by the FUF on the understanding of nutrient information. It was also noted that the DCRS5 (OWL) was more effective when choosing across products with distinct nutritional differences but performed poorly in assisting respondents with making healthy purchasing decisions when all the products contained NOCs above the relevant thresholds. This study’s findings highlight that the existing FOPNL schemes can be further enhanced for improved outcomes. This can be achieved by using a hybrid approach which includes both reductive and interpretative elements to allow for comparison across and within food products. The literature also suggests the use of colour and combining positive as well as negative elements to encourage ease of interpretation, improved understanding and healthier food choices.

A properly designed FOPNL can support consumers in making healthier food choices; however, it must be accompanied by measures to raise consumer awareness and increase the health literacy of the population to cause shifts in preferences and behavioural patterns over time. This must also be coupled with policies to make healthy food choices more affordable to the general population.

The results of this study revealed that FUF and MTL performed the best in assisting participants to correctly identify between products with the highest or lowest NOCs at the 5% significant level, and that the OWL performed poorly in assisting participants with making healthy purchasing decisions when all the products contained NOCs above the relevant thresholds.

This paper aims to examine the association between the perceived values of information (economic, hedonic, functional, psychological) and the actual use of social networking channels (Instagram/Facebook groups/SNS personal profiles or messaging) for seeking information on accommodations.

879 respondents aged 18–55, who travel abroad as individual tourists at least once a year and are responsible for their own accommodation choice, were surveyed.

The study shows that all the values of information are more likely to be provided through posting a question on one's profile/messaging options (i.e. friends and relatives), than through Facebook groups and Instagram. The multivariate findings show that different values are associated with different SNS channel choices for seeking information.

The study provides an innovative approach to the motivations behind the use of different SNS platforms for travel information search by consumers. It offers practical implications, suggesting how to provide the relevant content on each channel.

This paper aims to explore how music festival organisers negotiate diversity and inclusion in marketing and promotion practices through symbolic and social boundaries.

Based on semi-structured interviews with 18 festival organisers in Rotterdam and participant observation with six festival photographers I show that symbolic and social boundaries are employed in three areas: (1) boundaries in festival format (i.e. [partially] free or ticketed), (2) boundaries in distribution partners and technologies and (3) boundaries in promotional content.

Symbolic and social boundaries are intentionally used by festival organisers to build and delineate festival audiences. Implications are drawn on current understandings of the accessibility of music festival spaces, arguing that festival research should move beyond within-space dynamics to grasp the negotiation of diversity and inclusion at festivals more fully.

While music festivals are often marketed as celebratory spaces that are “welcoming to everyone”, few studies have investigated diversity and inclusion nor marketing and promotion practices at music festivals. This study shows how festival audiences are shaped through marketing and promotion practices.

Design is an important construct in the retail environment literature. Yet, the measures used for design have not followed appropriate scale development procedures. The purpose of this study is to provide a conceptual definition and then develop a scale for retail environment design (RED).

Interviews with both consumers and marketing researchers are used to generate a potential list of items. Using four different studies, these items are refined, and the RED scale is offered.

This study develops and validates the four-dimensional RED scale to measure the design of retail environments. The dimensions are functional, aesthetic, lighting and signage.

The newly developed RED scale will allow retailing researchers to measure lighting and signage qualities as part of retail design, measure design of retail environments more accurately and allow different studies to be compared.

The newly developed RED scale will allow retailers to better understand customers’ perceptions of the four dimensions of design. Retailers spend significant time and money designing and redesigning retail environments. The RED scale will enable managers to ensure these significant investments create competitive advantages and an appropriate return on investment.

A scale to measure retail environment design is developed. The scale includes two dimensions (lighting and signage) that are not typically investigated.

The purpose of this study is to propose a research model based on the stimulus-organism-response (S-O-R) model to examine whether media richness (MR), human-system interaction (HSI) and human-human interaction (HHI) as technological feature antecedents to medical professionals’ learning engagement (LE) can affect their learning persistence (LP) in massive open online courses (MOOCs).

Sample data for this study were collected from medical professionals at six university-/medical university-affiliated hospitals in Taiwan. A total of 600 questionnaires were distributed, and 309 (51.5%) usable questionnaires were analyzed using structural equation modeling in this study.

This study certified that medical professionals’ perceived MR, HSI and HHI in MOOCs positively affected their emotional LE, cognitive LE and social LE elicited by MOOCs, which together explained their LP in MOOCs. The results support all proposed hypotheses and the research model accounts for 84.1% of the variance in medical professionals’ LP in MOOCs.

This study uses the S-O-R model as a theoretical base to construct medical professionals’ LP in MOOCs as a series of the psychological process, which is affected by MR and interaction (i.e. HSI and HHI). Noteworthily, three psychological constructs, emotional LE, cognitive LE and social LE, are adopted to represent medical professionals’ organisms of MOOCs adoption. To date, hedonic/utilitarian concepts are more commonly adopted as organisms in prior studies using the S-O-R model and psychological constructs have received lesser attention. Hence, this study enriches the S-O-R model into an invaluable context, and this study’s contribution on the application of capturing psychological constructs for completely explaining three types of technological features as external stimuli to medical professionals’ LP in MOOCs is well-documented.

The person who works in an office starts his or her day with a choice of attire. The way they look in the office depends on the decisions they make on their clothes. This study aims to identify the challenges faced by employees in the management positions in the Sri Lankan apparel industry who regularly come into contact with customers when they have to decide upon the most appropriate work attire for the position they are occupying in their organization.

Collection of data was primarily achieved through a well-structured questionnaire containing a mixture of open- and closed-ended questions. Targeted employees were managers, designers and merchandisers belonging to Generation Y whose total number was sufficient to obtain 50 feedbacks. Six more interviews were conducted with the intention of finding out more about this matter.

The majority of employees in the management positions in the Sri Lankan apparel industry who have regular contact with customers prefer to dress in “smart casual attire”, which means semi-formal clothes. Lack of availability of certain varieties of business attire in Sri Lanka proved to be a major challenge for some employees. Overpriced clothing, less comfortable clothing and lack of the right fabrics and designs were also challenges. These findings highlight the importance of manufacturing a wider variety of business attire using moderately priced but comfortable fabrics to make affordable and good quality products. There is a need to have a persuasive merchandising method to achieve good sales and provide a pleasant shopping experience to the customers.

Sri Lankan workwear retailers as well as apparel designers can benefit from the findings of this research as there is no evidence of any other studies on this subject. Therefore, this will help them to fill the market gap for business attire by addressing these challenges.

The purpose of this study is to analyze the impact of inclined magnetohydrodynamics (MHD) and thermal radiation on the flow of a ternary micropolar nanofluid on a sheet that is expanding and contracting while applying mass transpiration and velocity slip conditions to the flow. The nanofluid, which is composed of Au, Ag and Cu nanoparticles dispersed in water as the base fluid, possesses critical properties for increasing the heat transfer rate and is frequently used in manufacturing and industrial establishments.

The set of governing nonlinear partial differential equations is transformed into a set of nonlinear ordinary differential equations. The outcome of this differential equation is solved and obtained the closed-form solution and energy equation in the form of hypergeometric functions.

The velocity, micro-rotation and temperature field are investigated versus a parametric variation. The physical domains of mass suction or injection and micropolar characteristics play an important role in specifying the presence, singleness and multiplanes of exact solutions. In addition, many nondimensional characteristics of the profiles of temperature, angular velocity and velocity profiles are graphically shown with substantial consequences. Furthermore, adding nanoparticles increases the heat transfer rate of the fluid used in manufacturing and industrial establishments. The current findings may be used for better oil recovery procedures, smart materials such as magnetorheological fluids, targeted medicine administration and increased heat transmission. Concerning environmental cleanup, nanomaterial fabrication and biomedical devices, demonstrate their potential influence in a variety of disciplines.

The originality of this paper is to analyze the impact of inclined MHD at an angle with the ternary nanofluid on a micropolar fluid over an expanding and contracting sheet with thermal radiation effect.

Automatic modulation recognition (AMR) is a challenging problem in intelligent communication systems and has wide application prospects. At present, although many AMR methods based on deep learning have been proposed, the methods proposed by these works cannot be directly applied to the actual wireless communication scenario, because there are usually two kinds of dilemmas when recognizing the real modulated signal, namely, long sequence and noise. This paper aims to effectively process in-phase quadrature (IQ) sequences of very long signals interfered by noise.

This paper proposes a general model for a modulation classifier based on a two-layer nested structure of long short-term memory (LSTM) networks, called a two-layer nested structure (TLN)-LSTM, which exploits the time sensitivity of LSTM and the ability of the nested network structure to extract more features, and can achieve effective processing of ultra-long signal IQ sequences collected from real wireless communication scenarios that are interfered by noise.

Experimental results show that our proposed model has higher recognition accuracy for five types of modulation signals, including amplitude modulation, frequency modulation, gaussian minimum shift keying, quadrature phase shift keying and differential quadrature phase shift keying, collected from real wireless communication scenarios. The overall classification accuracy of the proposed model for these signals can reach 73.11%, compared with 40.84% for the baseline model. Moreover, this model can also achieve high classification performance for analog signals with the same modulation method in the public data set HKDD_AMC36.

At present, although many AMR methods based on deep learning have been proposed, these works are based on the model’s classification results of various modulated signals in the AMR public data set to evaluate the signal recognition performance of the proposed method rather than collecting real modulated signals for identification in actual wireless communication scenarios. The methods proposed in these works cannot be directly applied to actual wireless communication scenarios. Therefore, this paper proposes a new AMR method, dedicated to the effective processing of the collected ultra-long signal IQ sequences that are interfered by noise.

The purpose of this paper is to investigate the impact of the COVID-19 pandemic on doctoral education. Pandemics throughout history have generated new educational theories and practices, accelerated some trends and signalled the abrupt end of others. The unpredictable effects of the COVID-19 pandemic have particularly impacted upon First Nations and transcultural communities and People of Colour throughout the globe. A second significant recent global trend that occurred at the height of the pandemic was the reignited #BlackLivesMatter (#BLM) protest campaign. This campaign drew attention to the vast inequities faced by black, transcultural (migrant, refugee, culturally diverse and international) and Indigenous peoples and triggered rapid action in higher education institutions against racism and unconscious bias.

This conceptual paper draws upon postcolonial/decolonial theory to demonstrate how the COVID pandemic and #BLM movement prompts us to revitalise doctoral education.

These two issues have created renewed urgency around the need to decolonise higher education and a desire to transform the “business-as-usual” geopolitical power dynamics that continue to privilege Northern knowledge over culturally diverse knowledge systems from First Nations and transcultural contexts. A key site where special opportunities exist to effect this transformation lies in doctoral education. Doctoral education is a significant location of new knowledge creation and the development of the world’s future researchers.

Applying post/decolonial theory enables one to rethink how doctoral education should be changed to work towards greater decolonisation.

This study applies Santos’ ideas about “the sociologies of emergence” in the global South to think about how doctoral education should be reconstructed as a liberated zone of decolonisation and epistemic justice.