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This paper highlights the need for future studies researching the subject of resilience in family firms on different levels.

This paper reviews the literature on resilience in family businesses.

Resilience has become more important due to the recent multiple crises, starting with the coronavirus pandemic, followed by high inflation and energy prices, partly resulting from the war in Ukraine. These multiple crises affect the family and the business level. Future research must account for multiple levels when addressing it, i.e. the individual, the team, the family, and the business level. Resilience has to encompass all levels to sustain family business continuity.

By giving an overview of the concept of resilience, taking the family's perspective, and suggesting future avenues of research, the paper contributes to the development of family business research.

ChatGPT is a versatile technology with practical use cases spanning many professional disciplines including marketing. Being a recent innovation, however, there is a lack of academic insight into its tangible applications in the marketing realm. To address this gap, the current study explores ChatGPT’s application in marketing by mining social media data. Additionally, the study employs the stages-of- growth model to assess the current state of ChatGPT’s adoption in marketing organizations.

The study collected tweets related to ChatGPT and marketing using a web-scraping technique (N = 23,757). A topic model was trained on the tweet corpus using latent Dirichlet allocation to delineate ChatGPT’s major areas of applications in marketing.

The topic model produced seven latent topics that encapsulated ChatGPT’s major areas of applications in marketing including content marketing, digital marketing, search engine optimization, customer strategy, B2B marketing and prompt engineering. Further analyses reveal the popularity of and interest in these topics among marketing practitioners.

The findings contribute to the literature by offering empirical evidence of ChatGPT’s applications in marketing. They demonstrate the core use cases of ChatGPT in marketing. Further, the study applies the stages-of-growth model to situate ChatGPT’s current state of adoption in marketing organizations and anticipate its future trajectory.

Despite increasing focus among scholars and practitioners on the design of product-service systems (PSS), there exists no compilation of current knowledge on the role played by small and medium-sized enterprises (SMEs) in designing such systems. Thus, this paper sets out to identify and organise the existing research and suggest questions for future research.

A systematic literature review was performed to identify and provide in-depth details on key themes in the literature addressing the design of PSS in SMEs.

This paper identifies five themes in the literature on the design of PSS in SMEs: motives, challenges, SME characteristics, methods and digitalisation. The themes are interrelated, and SME characteristics seem to be at the core as they are related to all the other themes. Gaps in the current knowledge are identified, and questions for future research are suggested.

The suggestions for future research provide a starting point for expanding the research on PSS design and devising practical support for SMEs.

In a highly competitive and globalised era, agile organisations proactively steer towards sustainability. This situation persuaded the organisations to align Quality Management (QM) initiatives to achieve sustainable outcomes. This study aims to explore quality–sustainability linkage, explicitly focusing on attaining the prestigious IAQ Quality Sustainability Award. Further it investigates, the impact of QM as a strategy for promoting sustainability to meet sustainable development goals (SDGs).

Due to the lack of substantial literature connecting QM to sustainability, the current research adopted an explanatory multiple-case study. Six cases were purposively chosen for the study. Three cases of those who have achieved the prestigious IAQ Quality Sustainability Award and remaining have been selected that have fallen short of receiving the award. A detailed within-case and cross-case examinations involving six cases that reported their QM achievements aligned with SDGs.

The findings demonstrate the significant role of QM adoption in achieving positive results from the perspective of SDGs, such as reduced environmental impacts, improved operational efficiency and enhanced quality of life. Effective stakeholder collaboration, proficiency in analytical tools and strategic alignment with SDGs emerged as critical success factors. Conversely, weak linkage with sustainability and unclear approaches were crucial challenges in attaining the IAQ Quality Sustainability Award.

This paper outlines essential commandments for organisations actively seeking to promote sustainability. It offers valuable insights for decision-makers, facilitating a profound understanding of the challenges and opportunities in pursuing sustainable performance.

The distinctive nature of this study lies in its dedicated exploration of the intricate relationship between QM deployment and its true impact on the achievement of the SDGs.

This qualitative study aims to explore the concept of organisational leadership in the context of Quality Management deployments across a variety of business organisations, particularly focusing on the possible relationships between leadership approaches during the implementation and sustaining phases of Quality Management.

The study is based on one-to-one semi-structured virtual interviews with leaders in the quality field.

Four themes (Customers, Leadership, Quality Culture and Sustainability of Quality) emerged from the post-interview data analysis, illustrating the critical role of Leadership in the successful deployment and sustainment of Quality Management and identifying the leadership traits that are most conducive to successful organisational deployments.

Although some of these leadership traits are described in the wider leadership literature as belonging to one or more different leadership styles, there is no existing style of leadership that comprehends all the characteristics; thus, the need for a new leadership paradigm is this paper's theoretical contribution to the literature.

The use of quality management (QM) to achieve the United Nations Sustainable Development Goals (UNSDGs) is a topic of growing interest in academia and industry. The IAQ (International Academy for Quality) established Quality Sustainability Award in 2020, a testament to this growing interest. This study aims to investigate how QM philosophies, methodologies and tools can be used to achieve sustainable development in organizations.

Five large manufacturing organizations – three from India and two from China – who reported their achievements about using QM in achieving Sustainable Development Goals (SDGs) were studied using multiple sources of data collection. A detailed within-case and cross-case analysis were conducted to unearth this linkage's practical and theoretical aspects.

The study finds that QM methodologies effectively met the five organizations' UNSDGs. These organizations successfully used OPEX (Operational Excellence) methodologies such as Lean, Kaizen and Six Sigma to meet UNSDGs 7, 11, 12 and 13. Moreover, UNSG 12 (Responsible Consumption and Production) is the most targeted goal across the case studies. A cross-case analysis revealed that the most frequently used quality tools were Design of Experiments (DoE), Measurement Systems Analysis (MSA), C&E analysis and Inferential statistics, among other essential tools.

The study's sample size was limited to large-scale manufacturing organizations in the two most populous countries in the world. This may limit the study's generalizability to other countries, continents, or micro-, small- and medium-sized enterprises (SMEs). Additionally, the study's conclusions would be strengthened if tested as hypotheses in a follow-up survey.

This practical paper provides case studies on how to use QM to impact SDGs. It offers both descriptive and prescriptive solutions for practitioners. The study highlights the importance of using essential QM tools in a structured and systematic manner, with effective teams, to meet the SDGs of organizations.

The study shows how QM can be used to impact UNSDGs, and this is very important because the UNSDGs are a set of global objectives that aim to address a wide range of social and environmental issues. This study could motivate organizations to achieve the UNSDGs using essential QM tools and make the world a better place for the present and future generations.

This case study is the first to investigate at a micro-level how QM can impact UNSDGs using live examples. It uses data from the IAQ to demonstrate how QM can be integrated into UNSDGs to ensure sustainable manufacturing.

Psychotherapy and clinical supervision outcomes are influenced by client and supervisee factors, one of which is cultural identity. Those with diverse racial and ethnic minoritised identities often experience disparities in therapy outcomes. Therapists and supervisors need to be responsive to the identity of those they support. The multicultural orientation (MCO) framework is an emerging concept in psychotherapy and clinical supervision that may offer these practitioners a framework to be responsive.

A preferred reporting items for systematic reviews and meta-analyses extension for scoping reviews was conducted. Six databases, PubMed, Scopus, Embase, Academic Search Complete, Web of Science and PsychInfo, were searched for peer-reviewed literature published in English between the years 2000 and 2023.

A total of 1,553 sources were identified, of which (n = 42) are included in this review. Findings suggest that MCO is still in its infancy as applied to therapy and clinical supervision. Most of the research has been conducted in America, using quantitative methodologies with white western populations. Cultural humility is the most studied MCO pillar, and variables such as reductions in psychological stress, the working alliance and microaggressions are reported on as outcomes. MCO applied to the group therapy process is an emerging finding of interest. However, more research is needed, especially experiential designs across different and diverse populations and contexts.

MCO is an emerging therapy and clinical supervision process that has the potential to improve the outcomes for therapy clients and supervisees. Further research is needed to replicate current studies, and further research with diverse populations, countries and contexts should be undertaken as a priority.

As one of the world's most valuable traded commodities, the market for coffee beans has grown enormously in recent years. The paper aims on analyzing the nonlinear exchange rate pass-through in Turkish coffee bean imports from two important sources in South America: Brazil and Colombia.

Data collected in this paper through reliable channels include nominal import value, exchange rate, production of total industry, etc. Independent and dependent variables are obtained through conversion. Since the nonlinearly adjusted exchange rate differs significantly from the linearly adjusted one for the export trade of Brazilian coffee beans, this paper develops the autoregressive distributed lag (ARDL) and nonlinear ARDL frameworks and demonstrates their application through asymmetric cointegration and error correction models.

The results of this paper show that imports of Brazilian coffee bean exhibit a more dramatic asymmetry compared to Colombia's coffee bean imports. The results of this study contribute to the import trade of non-oil commodities in developing countries, particularly Brazil, and enrich the existing literature on nonlinear exchange rate adjustments.

The export of Colombian coffee beans is not as old as Brazil, and it was not until much later that Colombia began to export coffee beans to the rest of the world.

The present study is an addition to the literature of agricultural trade. The authors analyze the nonlinear exchange rate pass-through in Turkish coffee bean imports from two important sources in South America: Brazil and Colombia. Different from the current mainstream research on oil commodity trade, this paper focuses on international trade from the perspective of coffee beans, which can enlighten the practice in this field.

This study aims at assessing item fairness in students' evaluation of teaching based on students' academic college using measurement invariance analysis (MI).

The sample of this study consists of 17,270 undergraduate students from 12 different academic colleges. SET survey consists of 20 Likert-type items distributed to four factors: planning, instruction, management and assessment was used to collect the data. The Lavaan R package with confirmatory factor analysis (CFA) was used to evaluate measurement invariance (MI). Four models of CFA were investigated and assessed: the configural model, the metric model, the scalar model and the residual invariance model. ANOVA was used to test the differences in SET according to academic colleges.

MI analysis showed that the four levels of MI models are supported. ANOVA test showed that means of SET total scores are statistically different according to students' academic colleges. College of “Education” has the highest SET mean (88.64 out of 100), and all the differences between the College of Education’s SET mean and other colleges' SET means are statistically significant.

The study recommends that higher education institutions test the MI of SET according to academic colleges and then use colleges with the highest SET at the university level as internal benchmarking to develop and enhance their teaching practices.

This study is probably the only study that tested MI according to students' colleges before testing the differences between colleges in SET. If MI is not supported, then the comparisons between academic colleges are not applicable.

This paper aims to explore the current trends in corruption and investigate the characteristics of corporate gift policies and their role in preventing bribery.

This is a descriptive study based on primary data from a recent sample of Canadian companies’ codes of conduct and secondary data from recent corruption surveys published by non-governmental organisations.

This study shows that 25% of all private and public corruption cases generate financial damages of more than US$1m per case and that 50% of all investigated fraud cases are corruption cases (ACFE, 2022). Furthermore, the Western Europe and EU region is perceived as least corrupt, whereas Sub-Saharan Africa is perceived as the most corrupt region (Transparency International, 2022). However, bribery is fairly common in nine EU countries where 10% or more of public service users bribed public officials to influence their decisions (Transparency International, 2021). Results from primary data show that 9.3% of firms put a total ban on gifts given to governmental officials, whereas 35.2% require a superior’s approval and only 5.5% state a dollar limit for the gift. Results also show that not a single firm prohibits the giving of gifts to non-governmental stakeholders or the receiving of gifts from any type of stakeholder. This paper argues that gifts can bias the recipient’s judgement and improperly influence future business decisions based on the gift’s subjective value, nature and context.

This paper extends previous research by examining the characteristics of corporate gift policies. It also helps organisations improve their gift policies in an effort to reduce corruption.

It is the first paper to investigate the characteristics of corporate gift policies and their role in preventing corruption.