Search results

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.

Inspired by a food bank distribution operation, this paper aims to study synchronized vehicle routing for equitable and effective food allocation. The primary goal is to improve operational efficiency while ensuring equitable and effective food distribution among the partner agencies.

This study introduces a multiobjective Mixed Integer Programming (MIP) model aimed at addressing the complex challenge of effectively distributing food, particularly for food banks serving vulnerable populations in low-income urban and rural areas. The optimization approach described in this paper places a significant emphasis on social and economic considerations by fairly allocating food to food bank partner agencies while minimizing routing distance and waste. To assess the performance of the approach, this paper evaluates three distinct models, focusing on key performance measures such as effectiveness, equity and efficiency. The paper conducts a comprehensive numerical analysis using randomly generated data to gain insights into the trade-offs that arise and provide valuable managerial insights for food bank managers.

The results of the analysis highlight the models that perform better in terms of equity and effectiveness. Additionally, the results show that restocking the vehicles through the concept of synchronization improves the overall quantity of food allocation to partner agencies, thereby increasing accessibility.

This paper contributes significantly to the literature on optimization approaches in the field of humanitarian logistics.

This study provides food bank managers with three different models, each with a multifaceted nature of trade-offs, to better address the complex challenges of food insecurity.

This paper contributes significantly to social responsibility by enhancing the operational efficiency of food banks, ultimately improving their ability to serve communities in need.

To the best of the authors’ knowledge, this paper is the first to propose and analyze this new variant of vehicle routing problems in nonprofit settings.

This study aims to empirically investigate solo travel behavior, comparing decision-making, destination choice, motivations, perceived experiences and constraints between the pre-pandemic and post-pandemic eras.

Using a mixed-methods approach, the study combines quantitative and qualitative data to enhance reliability and flexibility. An online survey attracted 250 respondents, providing demographic data and pandemic-related insights, complemented by eight in-depth interviews. Qualitative content analysis was used to extract key findings on motivations, constraints and destination choices.

The findings reveal that, pre-pandemic, independence and flexibility were key motivators for solo travel, with safety and budget as significant constraints. During the pandemic, half of the respondents continued solo travel, mainly within Europe, facing constraints related to destination choice and health concerns. Post-pandemic, solo travel interest resurged, emphasizing unchanged motivations but reduced concerns over companionship and planning. The study identifies a “traveling for revenge” trend post-pandemic, showcasing a desire to overcome constraints imposed during the pandemic.

The study contributes original insights into the nuanced changes in solo travel behavior due to the COVID-19 pandemic, offering a deeper understanding of solo travelers' evolving mindsets. It is one of the few studies to examine the pandemic's impact on solo traveling, providing short-term shifts in motivations and constraints with implications for the travel industry.

Supply chains need to be made viable in this volatile and competitive market, which could be possible through digitalization. This study is an attempt to explore the role of Industry 4.0, smart supply chain, supply chain agility and supply chain resilience on sustainable business performance from the lens of natural resource-based view.

The study tests the proposed model using a covariance-based structural equation modelling and further investigates the ranking of each construct using the artificial neural networks approach in AMOS and SPSS respectively. A total of 234 respondents selected using purposive sampling aided in capturing the industry practices across supply chains in the UK. The full collinearity test was carried out to study the common method bias and the content validity was carried out using the item content validity index and scale content validity index. The convergent and discriminant validity of the constructs and mediation study was carried out in SPSS and AMOS V.23.

The results are overtly inferring the significant impact of Industry 4.0 practices on creating smart and ultimately sustainable supply chains. A partial relationship is established between Industry 4.0 and supply chain agility through a smart supply chain. This work empirically reinstates the combined significance of green practices, Industry 4.0, smart supply chain, supply chain agility and supply chain resilience on sustainable business value. The study also uses the ANN approach to determine the relative importance of each significant variable found in SEM analysis. ANN determines the ranking among the significant variables, i.e. supply chain resilience > green practices > Industry 4.0> smart supply chain > supply chain agility presented in descending order.

This study is a novel attempt to establish the role of digitalization in SCs for attaining sustainable business value, providing empirical support to the mediating role of supply chain agility, supply chain resilience and smart supply chain and manifests a significant integrated framework. This work reinforces the integrated model that combines all the constructs dealt with in silos so far in prior literature.

This paper aims to explore the potential role of digitalization in reshaping Botswana's assets and liabilities declaration system. Digitalization presents opportunities to not only improve efficiencies in how services are delivered and citizens are engaged but also to integrate innovative ways to combat wicked problems such as illicit enrichment and conflicts of interest in the public service.

This qualitative paper adopts an exploratory research design to investigate how digital technologies can be used to enhance anti-corruption reforms in a developing country context. Primary data, focusing on the shortcomings and successes of Botswana’s asset declaration system, were collected from interviews with key policy actors in Botswana’s anti-corruption landscape, whereas secondary data were drawn from documents such as official reports, news and social media reports and available literature on the topics of digitalization and anti-corruption reforms. A comparative case study approach is used, highlighting successes and challenges in the use of electronic disclosure systems in Georgia, Ukraine and South Africa.

The analysis provides insights into the potential benefits and challenges associated with the integration of digital technologies in the asset and liability declaration process. The integration of digital technologies in the anti-corruption efforts of Georgia, Ukraine and South Africa has contributed to the development of robust electronic declaration systems. However, political resistance, costs, technical capacity and verification processes are identified as some of the core challenges confronting agencies tasked with implementing asset declaration systems.

The political and socio-economic contexts in the country case studies presented are distinct, as are the challenges posed by corruption. Although Botswana can gain insights from the implementation experiences of Georgia, Ukraine and South Africa, policymakers and implementers need to take into account these subtleties and their potential influence on the success or failure of a similar system. The research has implications for policy and practice by proposing an alternative approach to the implementation of Botswana’s asset declaration system. This will be of interest to policymakers, anti-corruption activists and scholars.

To the best of the authors’ knowledge, prior research has not studied the relationship between digitalization and anti-corruption reforms in Botswana. This paper contributes to the dearth of knowledge regarding the role of digitalization as a driver of anti-corruption reforms. The paper informs policy decisions related to the implementation of digital transformation initiatives in line with Botswana’s anti-corruption and digital transformation agendas.

How to embed artificial intelligence (AI) in human resource management (HRM) is one of the core challenges of digital HRM. Despite regulations demanding humans in the loop to ensure human oversight of AI-based decisions, it is still unknown how much decision-makers rely on information provided by AI and how this affects (personnel) selection quality.

This paper presents an experimental study using vignettes of dashboard prototypes to investigate the effect of AI on decision-makers’ overreliance in personnel selection, particularly the impact of decision-makers’ information search behavior on selection quality.

Our study revealed decision-makers’ tendency towards status quo bias when using an AI-based ranking system, meaning that they paid more attention to applicants that were ranked higher than those ranked lower. We identified three information search strategies that have different effects on selection quality: (1) homogeneous search coverage, (2) heterogeneous search coverage, and (3) no information search. The more applicants were searched equally often (i.e. homogeneous) as when certain applicants received more search views than others (i.e. heterogeneous) the higher the search intensity was, resulting in higher selection quality. No information search is characterized by low search intensity and low selection quality. Priming decision-makers towards carrying responsibility for their decisions or explaining potential AI shortcomings had no moderating effect on the relationship between search coverage and selection quality.

Our study highlights the presence of status quo bias in personnel selection given AI-based applicant rankings, emphasizing the danger that decision-makers over-rely on AI-based recommendations.

This study aims to critically discuss and reorient the diversity, equity and inclusion (DEI) debate toward the idea of addressing and rectifying the pervasive structural inequalities that DEI, in its undiluted form rooted in social justice (SJ), aims to combat. Drawing on Bourdieu, the study first examines the diffusion and contestation of DEI into international business (IB). It then proposes a Bourdieu-inspired agenda to advance the transposition of SJ principles into IB.

The study interpretively reconstructs the process of DEI’s ideational diffusion. It examines how the interplay between ideas and field dynamics in IB shapes ideational processes and outcomes.

In response to rising global inequalities – to which multinational enterprises (MNEs) have significantly contributed – SJ movements have propelled DEI into the wider social and political arena, including corporate boardrooms. Within IB, a diluted version of DEI – IB-DEI – emerged as a paradigm to improve MNEs’ performance, but failed to address underlying structural inequalities. As the social impacts, utility and legitimacy of DEI have been challenged, the DEI debate has come to a flux. The study proposes conceptual and contextual extension of DEI within IB and advancing socially engaged research and practice that help reinforce DEI’s core SJ purpose – tackling structural inequalities.

The study is one of the few to openly tackle SJ-IB contradictions on DEI, while advancing the application of Bourdieu to critical studies of IB.

This paper aims to examine the impact of using visual grammar on learning participle adjectives by EFL (English as a Foreign Language) learners.

The study follows an experimental design in which two groups participated in the study. The experimental group used visual grammar tools in learning participle adjectives. The control group was taught the participle adjectives in a traditional way. A pre–post test was designed and presented to the participants in the two groups.

The results showed that the experimental group made statistically significant improvements in their performance in using participle adjectives due to the use of visual grammar tools.

The current study is only limited to the effect of visual images on a particular grammatical issue, that is participle adjectives. Besides, the study does not include the gender variable; there may be variation in the results depending on the variable of gender.

The present study can provide language instructors with some guidelines on how to incorporate visual grammar applications in teaching grammar aspects. Learners can also be encouraged to have a better understanding of English grammar, using the different connotations of visual images.

Using visual images in teaching grammar will increase the learners' ability to think beyond their classroom environment. They can use this experience whenever they face visual images in different societal activities.

This paper is one of the initial attempts to investigate the effect of using visual grammar on learning participle adjectives.

While entrepreneurship has long been heralded for its positive contributions, there is a growing recognition of its “dark side,” characterized by unproductive, unethical and destructive actions. This exploratory literature review aims to illuminate the underexplored dark side of entrepreneurship, thereby enriching the discourse on entrepreneurship’s dual nature.

This study employs a robust mixed-method approach, integrating phenomenologically detailed co-citation bibliographic coupling with detailed thematic data and code-weaving. Science mapping tools like R-Bibliometrix and VOSviewer enhance the credibility of the findings by providing a sophisticated and reproducible methodological framework.

This review defines dark entrepreneurship, its characteristics, and its complexities. We introduced the “Dark Entrepreneurship Trinity”: Ethical Complexity, Institutional Navigation and Conflict Entrepreneurialship, with Institutional Navigation as the apex theme. It elucidates how this theme influences ethical dilemmas and operational strategies in conflict zones, illustrated through a diagram depicting their complex interrelations and dynamics.

The originality of this literature review lies in its comprehensive synthesis of the dark side of entrepreneurship. This review significantly contributes to the academic discourse by delineating a clearer picture of the destructive potentials of entrepreneurship. It compiles existing research, critically addresses the gaps and suggests future pathways for empirical studies.

This study aims to address challenges related to long lead time within a hazelnut company, primarily attributed to product quality issues. The purpose is to propose an integrated lean-based methodology incorporating a continuous improvement cycle, drawing on Lean Six Sigma (LSS) and Industry 4.0 applications.

The research adopts a systematic approach, commencing with a current state analysis using VSM and fishbone analysis to identify underlying problems causing long lead time. A Pareto analysis categorizes these problems, distinguishing between supplier-related issues and deficiencies in lean applications. Lean tools are initially implemented, followed by a future state VSM. Supplier-related issues are then addressed, employing root cause analyses and Industry 4.0-based countermeasures, including a proposed supplier selection model.

The study reveals that, despite initial lean implementations, lead times remain high. Addressing supplier-related issues, particularly through the proposed supplier selection model, significantly reduces the number of suppliers and contributes to lead time reduction. Industry 4.0-based countermeasures ensure traceability and strengthen supplier relationships.

This research introduces a comprehensive LSS methodology, practically demonstrating the application of various tools and providing managerial insights for practitioners and policymakers. The study contributes theoretically by addressing challenges comprehensively, practically by showcasing tool applications and managerially by offering guidance for system performance enhancement.