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The purpose of this study was to examine the global perceptions of social equity in the fine dining business model as a result of the surprise announcement for the 2024 planned closure of the Michelin three-star restaurant, Noma.

This study used critical discourse analysis to inductively analyze 91 source documents retrieved through a lexical database search. The analysis yielded five overarching themes and six subthemes.

Findings from this study serve as a benchmark in retrospect for capturing a rapidly accelerating global conversation from January to March 2023 around the long-term viability and social sustainability of the fine dining business model.

Against the backdrop of labor challenges in the restaurant industry due to the Covid-19 pandemic and its aftermath, the announced closure of Noma precipitated criticism of the stage (unpaid intern) system and the intense pressures of attaining and maintaining Michelin star status.

Results from the discourse analysis suggest certification for fine dining restaurants, perhaps through the Michelin Guide, for demonstrating a commitment to social sustainability as a qualifier to achieve a Michelin star.

Findings from this research reveal a palpable change in societal tolerance for a more socially sustainable fine dining restaurant business model that advances equitable solutions for its workers while assuring the economic sustainability of restaurants.

This study drew upon a foodscape lens to reveal a juxtaposition between well-executed environmentally sustainable initiatives in the fine dining business model and the threats to the social sustainability among its workers.

This paper aims to realize an in-situ quality inspection system rapidly for new injection molding (IM) tasks via transfer learning (TL) approach and automation technology.

The proposed in-situ quality inspection system consists of an injection machine, USB camera, programmable logic controller and personal computer, interconnected via OPC or USB communication interfaces. This configuration enables seamless automation of the IM process, real-time quality inspection and automated decision-making. In addition, a MobileNet-based deep learning (DL) model is proposed for quality inspection of injection parts, fine-tuned using the TL approach.

Using the TL approach, the MobileNet-based DL model demonstrates exceptional performance, achieving validation accuracy of 99.1% with the utilization of merely 50 images per category. Its detection speed and accuracy surpass those of DenseNet121-based, VGG16-based, ResNet50-based and Xception-based convolutional neural networks. Further evaluation using a random data set of 120 images, as assessed through the confusion matrix, attests to an accuracy rate of 96.67%.

The proposed MobileNet-based DL model achieves higher accuracy with less resource consumption using the TL approach. It is integrated with automation technologies to build the in-situ quality inspection system of injection parts, which improves the cost-efficiency by facilitating the acquisition and labeling of task-specific images, enabling automatic defect detection and decision-making online, thus holding profound significance for the IM industry and its pursuit of enhanced quality inspection measures.

This paper explores the historical aspects of customer due diligence and related anti-money laundering measures in South Africa. Customer due diligence measures are usually employed to ensure that financial institutions know their customers well by assessing them against the possible risks they might pose such as fraud, money laundering, Ponzi schemes and terrorist financing. Accordingly, customer due diligence measures enable banks and other financial institutions to assess their customers before they conclude any transactions with them. Customer due diligence measures that are utilised in South Africa include identification and verification of customer identity, keeping records of transactions concluded between customers and financial institutions, ongoing monitoring of customer account activities, reporting unusual and suspicious transactions and risk assessment programmes. The Financial Intelligence Centre Act 38 of 2001 (FICA) as amended by the Financial Intelligence Centre Amendment Act 1 of 2017 (Amendment Act) is the primary statute that provides for the adoption and use of customer due diligence measures to detect and combat money laundering in South Africa. Prior to the enactment of the FICA, several other statutes were enacted in a bid to prohibit money laundering in South Africa. Against this background, the article provides a historical overview analysis of these statutes to, inter alia, explore their adequacy and examine whether they consistently complied with the Financial Action Task Force Recommendations on the regulation of money laundering.

The paper provides an overview analysis of the historical aspects of the regulation and use of customer due diligence to combat money laundering in South Africa. In this regard, a qualitative research method as well as the doctrinal research method are used.

It is hoped that policymakers and other relevant persons will adopt the recommendations provided in the paper to enhance the curbing of money laundering in South Africa.

The paper does not provide empirical research.

The paper is useful to all policymakers, lawyers, law students and regulatory bodies, especially, in South Africa.

The paper advocates for the use of customer due diligence measures to curb money laundering in the South African financial markets and financial institutions.

The paper is original research on the South African anti-money laundering regime and the use of customer due diligence measures to curb money laundering in South Africa.

This paper aims to investigate the links between daily review sentiment and the hotel performance measures of occupancy rate (OR), average daily rate (ADR) and revenue per available room (RevPAR).

The authors conducted review sentiment analyses in three moments (−1, −7 and −14 days) before arrival time using a data set of budget hotel performance and online reviews. The aim was to identify the effect of review sentiment in the budget hotel market on the three performance metrics.

Daily sentiment positively affects ADR and negatively affects OR and RevPAR, but only up to a certain threshold, after which the trend reverses. Prices increase with the level of sentiment, and high prices lead to low OR and RevPAR only when the sentiment scores are low. When they are high, they are associated with low rates, which lead to high OR and RevPAR.

Daily review sentiment can be viewed as a valuable “barometer” indicating a hotel’s daily operational effectiveness. Daily sentiment can thus allow hotel managers to adjust their dynamic pricing strategies more accurately.

This study identifies daily sentiment as an alternative predictor of hotel performance. In addition to the roles of valence and volume in the decision-making process, the authors found that daily review sentiment can be an “in-the-moment” factor with a high impact, encouraging consumers to complete their transactions. This study suggests that aggregated measures such as the total number of reviews and overall ratings of the hotel should not be the sole consideration in reputation management.

To assess the introduction and performance of light electric freight vehicles (LEFVs), more specifically cargo cycles in major 3PL organizations in at least two Nordic countries.

Case studies. Interviews. Company data on performance before as well as after the introduction. Study of differing business models as well as operational setups.

The results from the studied cases show that LEFVs can compete with conventional vans in last mile delivery operations of e-commerce parcels. We account for when this might be the case, during which circumstances and why.

Inherent limitations of the case study approach, specifically on generalization. Future research to include more public–private partnership and multi-actor approach for scalability.

Adding to knowledge on the public sector facilitation necessary to succeed with implementation and identifying cases in which LEFVs might offer efficiency gains over more traditional delivery vehicles.

One novelty is the access to detailed data from before the implementation of new vehicles and the data after the implementation. A fair comparison is made possible by the operational structure, area of delivery, number of customers, customer density, type of packages, and to some extent, the number of packages being quite similar. Additionally, we provide data showing how city hubs can allow cargo cycles to work synergistically with delivery vans. This is valuable information for organizations thinking of trying LEFVs in operations as well as municipalities/local authorities that are interested.

Sweeping changes are underway in the world of work where new work-models such as permanent work-from home mandates are being implemented by many organizations in the aftermath of the COVID-19 pandemic. Although cost benefits for organizations are obvious from such measures, little is known about how emotions of employees are affected by such measures. A recent industry survey reveals that some employees feel that they are being ostracized from their normal workplace while others are being allowed to return to their normal office settings. However, there appears to be dearth of empirical studies on how employees are coping with workplace ostracism (WO), and whether such emotions are related to factors such as their levels of mindfulness and perceived organizational support (POS). Therefore, this study deploys the stress and coping theory to suggest that individuals with high levels of mindfulness are less likely to experience WO, and that such a relationship is further moderated by POS.

The hypotheses developed in this study are tested through survey data collected from 240 employees who work for various large organizations in Oman. Eligible respondents are employees who have been directed by their employers to continue to work from home even after a large portion of their colleagues have returned to their physical offices.

The data is analyzed with R Core Team software. The findings reveal that employees with high levels of mindfulness reported lower levels of WO. Furthermore, POS moderates the inverse relationship between mindfulness and WO at moderate and high levels of POS but not when organizational support is perceived to be at low levels.

This study suffers from several limitations. First, the study is cross-sectional in nature and does not capture how the perceptions of workplace ostracism change over time. Considering that majority of the new directives to employees to permanently work from their remote locations are quite recent. Second, this study posits the effect of mindfulness as a trait on WO and does not consider other constructs. Third, the demographic details of the respondents indicates that bulk of the employees that were asked by their employers to continue to work from home even after the COVID-19 restrictions were lifted were women (68%).

Practically, the relationships between mindfulness, perceived organizational support and workplace ostracism provide useful managerial knowledge. This is particularly important considering the fact that the influence on employee perceptions due to these new work models are yet to be fully realized. As a result, managers can fine-tune their organizational communication and their training programs toward developing awareness of the present among employees to enable them to appraise new organizational policies from a more holistic long-term perspective. Additionally, the management can also emphasize sufficient material and psychological support for employees that are required to remain working from home.

This study appears to be among the first empirical research that provides evidence on the inverse relationship between mindfulness and WO, especially in the context of the new work-models in the post pandemic period. Additionally, the study demonstrates that moderate to high levels of POS can further mitigate WO among individuals with higher levels of mindfulness.

Banditry and terrorism constitute serious security risks in Nigeria. This follows the fact that Nigeria is rated as one of the leading states in the world that is plagued by terrorism. Terrorists and bandits usually embark on predicate crimes such as kidnapping, smuggling, narcotics trade, and similar trades to finance their terrorist enterprises in Nigeria. The funds realized by criminals from nefarious sources such as sales of narcotics and ransom from kidnapping are usually laundered to make their criminal enterprises self-sustaining. Thus, all “dirty” money is laundered so as not to attract the attention of law enforcement agents. The funds realized through receipt of ransom from kidnapping, smuggling or funds from sponsors are laundered through channels such as bureau de change, which are difficult to monitor by the Nigerian authorities due, in part, to flaws and loopholes in the current anti-money laundering and anti-terrorist laws. This paper aims to adopt a doctrinal and qualitative desktop research methodology. In this regard, the current anti-money laundering and anti-terrorist laws are discussed to explore possible measures that could be adopted to remedy the flaws and loopholes in such laws and combat money laundering and financing of terrorism in Nigeria.

The article analyses the regulation and combating of money laundering and terrorist financing activities in Nigeria. In this regard, a doctrinal and qualitative research method is used to explore the flaws in the Nigerian anti-money laundering laws so as to recommend possible remedies in respect thereof.

It is hoped that policymakers and other relevant persons will use the recommendations provided in this article to enhance the curbing of money laundering and terrorist financing activities in Nigeria.

The article is not based on empirical research.

This study is important and vital to all policymakers, lawyers, law students and regulatory bodies in Nigeria and other countries globally.

The study seeks to curb money laundering and terrorist financing activities in Nigeria.

The study is based on original research which is focused on the regulation and combating of money laundering and terrorist financing activities in Nigeria.

The work connects classic theories of selfing to the COVID-19 pandemic to make fresh connections between pandemic-induced trauma to the self and digital resources. This research introduces the concept of the “traumatized self” emerging from the COVID-19 pandemic in relation to digital disadvantage and digital hyperconnectivity. From Cooley’s original “looking glass self” to Wellman’s “hyperconnected” individualist self, social theories of identity work, and production of the self have a long and interdisciplinary history. In documenting this history, the discussion outlines key foci in the theorizing of the digital self by mapping how digital selfing and identity work have been treated from the inception of the internet to the epoch of the pandemic. The work charts the evolution of the digital selfing project from key theoretical perspectives, including postmodernism, symbolic interactionism, and dramaturgy. Putting these approaches in dialogue with the traumatized self, this research makes a novel contribution by introducing the concept of digitally differentiated trauma, which scholars can employ to better understand selfing processes in such circumstances and times.

The Australian Government has long used its international scholarship programs as an instrument of soft power in international diplomacy. The paper examines an international scholarship program and its role in Australia’s soft power efforts during a period in recent history.

The Australia in the Asian Century White Paper of 2012 is used as a lens to reveal how the Australian Government viewed the role of international scholarship programs in international diplomacy at a specific point in the recent past, and compares it with research revealing what was contemporaneously happening with one key government-funded scholarship program.

This paper is based on a comprehensive case study of the Australian Government’s Endeavour Scholarships and Fellowships program (2004–2019). Endeavour was an ambitious and expensive merit-based program with 6,600 recipients in numerous and diffuse sub-categories. The program was complex and cumbersome and lacked clear priorities, particularly in its lack of geographic focus. It missed opportunities to connect with the political zeitgeist, largely due to opaque priorities and inadequate evaluation regimes which focused entirely on outcomes for individual recipients rather than on relationships for Australia.

This research draws on the first academic study of the Endeavour program. Other scholarship programs (for example Australia Awards and the New Colombo Plan) have attracted considerable scholarly interest. The Endeavour research provides an additional counterpoint for studies of Australian scholarship programs and their contribution to international diplomacy. It is timely to consider this in 2024 when Australia is putting a new focus on its investment in international scholarships.

Managers engage in marketing efforts to boost sales and in setting marketing budgets based on current or historical sales. Past studies have overlooked the reciprocal relationship between marketing spending and sales. This study aims to examine the nature of the relationship between sales and marketing expenses in the B2B market.

Five hypotheses on the relationship between sales and marketing expenditures were framed. A total of 30 of India’s dyeing firms provided data on revenues, sales (in units) and marketing expenditures over time. The structural vector auto-regressive model and the vector error correction model were fitted to the data.

The results show that marketing expenses and sales are related bidirectionally in a sequential way. Furthermore, sales drive the long-term equilibrium relationship to a greater extent than marketing expenditures.

The findings of this study should assist managers in predicting sales and marketing budgets simultaneously and devising precise marketing strategies and tactics.

Using econometric models in data-driven research is not a frequent practice in marketing. This study adds value to the body of marketing literature by advancing the theory of the relationship between sales and marketing spending using real-world data and econometric models in the B2B sector.