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This study aims to investigate causes of sustainability failures of ISO 9001 Quality Management Systems in Botswana.

The research employed qualitative and quantitative methods, including literature review and secondary data analysis to understand trends relating to Botswana, and a survey to identify gaps leading to certification sustainability failures, focusing on; motives for certification, causes of decertification and issues in the certification process.

ISO 9001 adoption in Botswana is slow, with low acceptance rate in the public sector at 13% compared to the private sector at 87%. Termination rates have been high at 55% over two decades. Manufacturing dominates certification with 45% of total certification. While micro and small companies struggle to sustain certification, often failing within 2 years, medium-sized companies demonstrate better sustainability, lasting beyond 6 years. Product/service quality and process improvement drive certification while decertification is influenced by management factors, financial constraints, and process management. The study recommends a model for effective integration of ISO 9001.

Integrated systems are crucial for consistent process performance and continual improvement in all sectors for sustainable organizational success. Although the ISO 9001 Quality Management System has shown positive impacts globally, the impact of its adoption in Botswana remains questionable with high failure rates post implementation. There appears to exist a significant gap in development, implementation, and maintenance of the QMS. The public domain has no evidence of any past investigation on causes of sustainability failures of ISO 9001 post certification. The current study sought to close that knowledge gap.

The unethical use of natural resources is contributing to the increasing environmental degradation. The depleting environment poses a threat to the sustainability of present and future generations. This paper aims to investigate the impact of social media on the green purchase intention of consumers. The research adopts the theory of reciprocal determinism to integrate the variables of social media, green product knowledge, green consumption values and drive for environmental responsibility, assessing their collective impact on green purchase intention.

Data were gathered from a sample of 310 young consumers using a structured close-ended questionnaire. The proposed hypothesis was tested by employing PLS-SEM.

The study validates that social media (SM) has the ability to shape consumers' intention to choose more eco-friendly products. In addition to social media, green consumption values and the drive for environmental responsibility exert a significant influence on green purchase intention. However, green product knowledge did not have a significant impact on green purchase intention nor did mediate the relationship between social media and green purchase intention.

The existing scholarly literature indicates that researchers have employed a variety of theories as the basis for their studies aimed at predicting intentions and behaviors related to environmentally conscious purchases. To our knowledge, this is the first study to incorporate social media in the theory of reciprocal determinism. Notably, the paper represents the inaugural investigation in the context of an emerging economy to incorporate green product knowledge as a mediating variable.

The purpose of the research is to propose reforms that would help to bridge the gap between theory and practice and produce more effective urban planners. The research on urban planning curricula in the global South is a valuable contribution to the field of urban planning education. It provides a new perspective on the challenges facing urban planning education in these countries and offers a roadmap for improvement.

The research explores and evaluates the urban planning curricula in the global South, with a particular interest in Egypt. The research employs the use of questionnaires with 56 university instructors, analysed thematically, to evaluate the current content of curricula. The results are compared and correlated with a pilot study exploring research interest, government policies and practices of urban planning in Egypt.

Through comparing the results of the evaluation with the current research interest in urban planning in Egypt, the paper investigates the possibility of improving current educational curricula using comparative network analysis which would establish stronger interdisciplinary connections.

The seeming disconnects between urbanism concepts taught in educational curricula and their relevance in practice and reality is a vital issue in urban studies and planning. Interdisciplinary connections with topics like politics, economies, gender, and others can assist curricula in becoming more relevant to real-world situations. This disconnect is even more apparent in the global South where most educational content is highly derivative from Northern contexts. Though such interdisciplinary aspects are under discussed in educational curricula, they are frequently discussed in academic research.

Is there any symmetric or asymmetric connection between mobile wallet service quality (MWSQ) dimensions and loyalty intention? Are there any factors that intervene in the relationship between MWSQ and loyalty intention? To answer these questions, the present study explored dimensions of MWSQ and proposed a novel framework to comprehend symmetric and asymmetric relationship between MWSQ dimensions and loyalty intention.

The study used data from 422 m-wallet users. Structural equation modeling (SEM) was used to investigate the impact of MWSQ dimensions (reliability, security, responsiveness, practicity and design) on loyalty intention. Furthermore, fuzzy sets qualitative comparative analysis (fsQCA) has also been applied to understand the complex, non-linear and synergistic effects of MWSQ dimensions on brand loyalty that SEM failed to reveal.

Using structural equation modeling (SEM) and fuzzy sets qualitative comparative analysis (fsQCA), current study revealed three major findings. First, except for practicity and design, results revealed a significant positive impact of MWSQ dimensions (reliability, security and responsiveness) on loyalty intention. Second, the study found that association between MWSQ dimensions (reliability, security and responsiveness) and loyalty intention was partially mediated by two parallel mediators namely brand image and brand satisfaction. Third, fsQCA uncovered asymmetric, synergistic and non-linear effects of MWSQ dimensions on loyalty intention that SEM failed to reveal. It revealed six sufficient conditions for determining low and high loyalty intention. Predictive validity has been also tested to determine accuracy of fsQCA results.

For practitioners, the proposed model is helpful as it will facilitate them in taking an edge over competitors by emphasising on key MWSQ dimensions. It will enable them to frame effective strategies for increasing market share and customer retention.

It is among the pioneer studies which explored the service quality dimensions of m-wallet, and used combination of both quantitative and qualitative techniques to propose an integrated framework for m-wallet service quality.

Online shopping around the world is growing exponentially, especially during the COVID-19 pandemic. This study aims to examine how an online customer's purchasing experience influences his/her buying intention and willingness to believe in fraud news, as well as the ripple impact of satisfaction and trust, with gender as a moderator in an emerging economy during COVID-19.

Based on the underpinning of the stimulus-organism-behavior-consequence (SOBC) theory, the research model was developed, and collected data from 259 respondents using convenience samples technique. Next, the data were analyzed using partial least squares-based structural equation modeling (PLS-SEM), SPSS (Statistical Package for the Social Sciences) and Hayes Process Macro.

The study results confirmed that the online shopping experience (OSE) has positive impact on customers' satisfaction (CS), purchase intention (PI) and customer trust (CT); CS has positive effects on trust toward online shopping and their future product PI; future product PI significantly affects customers' propensity to believe and act on fraud news (PBAFN). The finding also states that gender moderates the relationships of CS to PI, OSE to PI and PI to PBAFN, but doesn't moderate the CT to PI relationship.

The study findings will assist policymakers and online vendors to win customers' hearts and minds' through confirming satisfaction, trust and a negative attitude toward fake news, which will lead to customer loyalty and the sustainable development of the industry. Finally, the limitations and future research directions are discussed.

Nowadays, in many organizations, products are not delivered instantly. So, the customers should wait to receive their needed products, which will form a queueing-inventory model. Waiting a long time in the queue to receive products may cause dissatisfaction and churn of loyal customers, which can be a significant loss for organizations. Although many studies have been done on queueing-inventory models, more practical models in this area are needed, such as considering customer prioritization. Moreover, in many models, minimizing the total cost for the organization has been overlooked.

This paper will compare several machine learning (ML) algorithms to prioritize customers. Moreover, benefiting from the best ML algorithm, customers will be categorized into different classes based on their value and importance. Finally, a mathematical model will be developed to determine the allocation policy of on-hand products to each group of customers through multi-channel service retailing to minimize the organization’s total costs and increase the loyal customers' satisfaction level.

To investigate the application of the proposed method, a real-life case study on vaccine distribution at Imam Khomeini Hospital in Tehran has been addressed to ensure model validation. The proposed model’s accuracy was assessed as excellent based on the results generated by the ML algorithms, problem modeling and case study.

Prioritizing customers based on their value with the help of ML algorithms and optimizing the waiting queues to reduce customers' waiting time based on a mathematical model could lead to an increase in satisfaction levels among loyal customers and prevent their churn. This study’s uniqueness lies in its focus on determining the policy in which customers receive products based on their value in the queue, which is a relatively rare topic of research in queueing management systems. Additionally, the results obtained from the study provide strong validation for the model’s functionality.

Considering the speedy growth of Islamic finance and limited research work on Muslim behavior regarding Islamic Banking, this study aims to investigate to comprehend the stimulus of religiosity on customer’s behavior.

A conceptual model is developed on existing literature. The key dimensions of religiosity in the model include practice, knowledge, experience and consequences to capture the whole religiosity of customers. Model of the study investigates the impact of customer’s religiosity on their behavior in decision-making about selection of Islamic bank. Analysis of the study is based on the sample of 370 customers of Islamic banks from District Nowshera Khyber Pakhtunkhwa, Pakistan. The data for the study collected through random sampling by a comprehensive survey questionnaire. Binary logistic model is used to test the data for statistical analysis.

The key findings of the study suggest that religiosity influence customer behavior positively in decision-making regarding Islamic finance. Service standards of Islamic banking has also significant impact on customer perception, while the financial education of the customers has insignificant impact on customer behavior.

This study mainly focused on the curiosity of the customer religious commitment, so religiosity is a vast phenomenon; there are deep sections in each dimension of religiosity, so further study is suggested for the comprehensive capture of each dimension of religiosity.

The results of the study have a great importance for the managers of Islamic finance industry to identify and detect the potential customers and divide the target market of banking industry on the base of religiosity. Furthermore, the study may bring significant managerial suggestions for marketing planners and can help them in market segmentation strategies.

The study examined the association between Muslim religiosity and Islamic banking customer’s selection behavior. This study spread the understanding of religiosity and its impact on Islamic banking customer’s behavior. Furthermore, the study is valuable to discover the level to which religiosity determines the inclinations of customers. This study helps marketing practitioners and researchers to grow their knowledge about customer’s motives in terms of religious commitment.

This study aims to simultaneously examine customer complaints through the proposed novel Design for Six Sigma (DFSS) model which incorporates of creating the new insurance services to win customers' hearts and mind for the insurance industry.

A novel DFSS research methodology which includes the theory of inventive problem solving (TRIZ), Pugh concept selection, creative product analysis matrix and importance–satisfaction model (I–S Model) was proposed. In addition, a real insurance company case was studied to illustrate the effectiveness of the proposed DFSS model.

The results of a novel DFSS model not only can establish new services, but also can dramatically reduce the cost of resolving customer complaints.

The findings of this study are useful for insurance companies and other related service providers in devising tailored strategies to offer quality and suitable services to their customers.

This study addresses the paucity of research and marketing gaps through the proposed novel DFSS model for the first time in the insurance industry. These study findings would enable researchers and practitioners to formulate strategies for solving customer complaints effectively and develop new services from time to time.

This research aims to analyze the literature on Quality 4.0 and pinpoint the essential factors contributing to its success. Additionally, the research aims to develop a framework that can be used to create a capable workforce necessary for the successful implementation of Quality 4.0.

By following a systematic approach, the authors could ensure that their literature review was comprehensive and unbiased. Using a set of pre-determined inclusion and exclusion criteria, the authors screened 90 research articles to obtain the most relevant and reliable information for their study.

The authors' review identified essential findings, including the evolution of literature in the field of Quality 4.0 and the systematization of previous literature reviews focusing on training and development. The authors also identified several training barriers to implementing Quality 4.0 and proposed a model for building a competent workforce using Kolb's experiential learning model.

The authors' research offers insights into the training barriers that must be considered when building a competent workforce. Using the framework proposed in the authors' research, consultants and managers can better integrate Quality 4.0 into their organizations.

The adoption of Quality 4.0 has significant social implications and is essential for advancing sustainability. It can improve efficiency, reduce waste, minimize environmental impacts and better meet the needs and expectations of stakeholders.

The authors' study stands out as one of the earliest reviews of the literature on Quality 4.0 to incorporate the theory-context-method (TCM) framework, allowing to provide unique insights into future research directions that had not been previously explored.

The purpose of this paper is to analyze the prejudice and discrimination constructs through the lens of a transcendent knowledge concept.

The paper seeks to demonstrate that Spiritism or Spiritist Doctrine (SD) – regarded here as a source of transcendent knowledge – offers compelling arguments and provides suitable explanations (i.e. transcendent ontology) in relation to the issue of discrimination

Overall, this paper contributes to a better understanding of diversity and inclusive perspectives by examining the antecedents and consequences of discrimination through the insightful lens of SD tenets. In this sense, the findings suggest that the discriminators and prejudiced people may ironically pass through – as a result of the law of cause and effect – the same hard situations (i.e. ordeals or nightmares) – even though in their future lives – that they impose in their current victims to forcefully open their minds, support universal values, enhance their own feelings and spiritual intelligence.

Evidence presented here (although conceptually in nature) could be somewhat integrated into training sections of diversity management. At a minimum, it may encourage the shift of attitudes, revision of embedded values and reflections about the spiritual consequences to the perpetrators of discrimination against minorities.

Taken as a whole, the SD tenets prompt us to understand that the acts of prejudice, stereotyping and discrimination engender suffering for their perpetrators, even in their future lives (i.e. reincarnations). Broadly speaking, the SD principles compel us to consider transcendent knowledge even in the context of organizational life.