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The purpose of this study is to propose a new method for the end-to-end classification of steel surface defects.

This study proposes an AM-AoN-SNN algorithm, which combines an attention mechanism (AM) with an All-optical Neuron-based spiking neural network (AoN-SNN). The AM enhances network learning and extracts defective features, while the AoN-SNN predicts both the labels of the defects and the final labels of the images. Compared to the conventional Leaky-Integrated and Fire SNN, the AoN-SNN has improved the activation of neurons.

The experimental findings on Northeast University (NEU)-CLS demonstrate that the proposed neural network detection approach outperforms other methods. Furthermore, the network’s effectiveness was tested, and the results indicate that the proposed method can achieve high detection accuracy and strong anti-interference capabilities while maintaining a basic structure.

This study introduces a novel approach to classifying steel surface defects using a combination of a shallow AoN-SNN and a hybrid AM with different network architectures. The proposed method is the first study of SNN networks applied to this task.

After completion of this case study, students will be able to help participants appreciate how the personal experiences of the founder(s) shape the inception of a social venture and impact its ongoing evolution; elucidate the intricacies and challenges inherent in managing a mission-driven organization dedicated to serving the underserved segments of society; emphasize the difficulties associated with exploring opportunities for scaling up a social venture; and facilitate comprehension of the various options and strategies available for achieving scalability.

The Kalinga Institute of Social Sciences (KISS), founded in 1992–1993 by Prof. Achyuta Samanta in Bhubaneswar, was a pioneering institution with a distinctive focus on providing high-quality education at all levels, exclusively to tribal students. From its inception, KISS remained unwavering in its commitment to the holistic development of marginalized tribal communities. It offered not just free education but also comprehensive support, including accommodation, food and health care, to thousands of students spanning from kindergarten to post-graduation levels. Remarkably, KISS held the unique distinction of being the world’s only university dedicated to tribal education. Over the years, KISS witnessed remarkable growth, evolving from a modest 125 students in 1992–1993 to a thriving community of 30,000 students. Its success garnered attention from federal and state governments, public institutions, philanthropists and corporations, all intrigued by the prospect of replicating its transformative model in diverse regions of the country. KISS even received invitations to establish similar campuses in neighbouring countries such as Sri Lanka, Bangladesh and Nepal. What set KISS apart was its self-sustaining approach. While it did receive support from like-minded organizations and government schemes, it operated without charging any fees to its students. This ethos posed a unique challenge for Samanta: determining the nature and extent of support and resources required should KISS choose to expand its impact beyond its current boundaries.

This case study is suited for inclusion in courses pertaining to social innovation and non-profit management, particularly in modules around the theme of scaling social innovation. It provides an illustration of the growth trajectory of social innovation-oriented ventures and the key factors underlining their success and sustainability. Furthermore, this case study delves into the inherent tensions that often emerge during the process of scaling up such initiatives.

In addition to the MBA-level courses, this case study can also be used as a resource for executive education programs with a specific focus on social purpose organizations and those dedicated to fostering partnerships in pursuit of social goals. It offers insights into the dynamics of these organizations and their collaborative efforts towards achieving social impact.

To effectively explore and analyse the case material, instructors should allocate approximately 70–90 min of class discussion time.

Teaching notes are available for educators only.

CSS11: Strategy.

Through the study, we identified four effective paths to improve governance performance and also found the key direction for future research on digital twin urban implementation of public crisis governance, i.e. how to find a balance between the cost and the effectiveness of governance.

A total of 22 urban public emergencies were selected based on key influencing factors, and four action paths to improve the performance of public crisis governance in digital twin cities were obtained using a fuzzy set qualitative comparative analysis model.

This paper identified digital twin technologies in urban public crisis governance, analyzed the key factors of public crisis governance in the digital twin city and proposed a path of action to improve the performance of public crisis governance in digital twin cities.

This study focuses on the influencing factors of public crisis governance in digital twin cities and the action paths to promote improved governance performance.

Employees facing challenges in their careers – i.e. female, migrant, elderly and lower-educated employees – might expect job searches to have a low likelihood of success and might therefore more often stay in unsatisfactory positions. The goal of this study is to discover inequalities in job mobility for these employees.

We rely on a large sample of Dutch public sector employees (N = 30,709) and study whether employees with challenges in their careers are hampered in translating job dissatisfaction into job searches. Additionally, we assess whether this is due to their perceptions of labor market alternatives.

Findings show that non-Western migrant, elderly and lower-educated employees are less likely to act on job dissatisfaction than their advantaged counterparts, whereas women are more likely than men to do so. Additionally, we find that although they perceive labor market opportunities as limited, this does not affect their propensity to search for different jobs.

This paper is novel in discovering inequalities in job mobility by analyzing whether employees facing challenges in their careers are less likely to act on job dissatisfaction and therefore more likely to remain in unsatisfactory positions.

In this chapter, Andrea Óhidy discusses some pivotal issues of the book. Firstly, she shows the common challenges for current and future EU-member states to increase the participation and success of Roma people in education and lifelong learning. Then she discusses policy strategies and measures for Roma Inclusion in the Western Balkan states Albania, Bosnia and Herzegovina, Kosovo, Montenegro and Serbia. They try to improve the social situation of Roma people but also to promote minority languages and cultures. She found the main cause of the similarities concerning the strategies and concrete projects for possible solutions in the adaptation of the EU Roma inclusion policy in the Western Balkan states as part of their negotiations for EU membership. She considers the implementation of these policy measures and also the educational attainment and success of Roma in the Western Balkans unsatisfactory.

Optimization of dynamics determining distribution performance of pharmaceuticals is vital in realizing Sustainable Development Goal (SDG) number 3 which insists on provision of good health and well-being to the society. This study was designed at unfolding diverse factors that influence the distribution performance of pharmaceuticals in the Medical Stores Department (MSD) of Tanzania.

This study utilized cross-sectional survey strategy in gathering data from 67 staff members working in the MSD using census approach. A structured questionnaire facilitated the collection of quantitative data which were later analyzed using ordinal logistic regression.

The results disclosed that all variables of inventory management, information management system and facility location positively and significantly govern the distribution performance and henceforth rejection of the foreseen null hypothesis.

This study realized dynamics inducing distribution performance of pharmaceuticals but did not cover the role of 3PLS and 4PLS in enhancing the same, and hence, an imminent study ought to seal this gap. Also, having grasped management information system is of strategic pillar, then it would sound imperative to analyze the application of artificial intelligence in distribution system performance.

This paper assimilates the concept of subaspects of supply chain management in footings of distribution management and that of pharmaceuticals and hence multidisciplinary value addition. Also, this study illustrates the applicability of strategic choice theory in strategic management in developing countries through pertinent choice of inventory management, information management system and facility location in triumphing SDGs.

The purpose of this research is to investigate the effects of service recovery experiences on customer engagement in negative word-of-mouth (WOM) in the hotel industry and explore the psychological motives and mediating mechanisms driving consumer behavior.

A scenario-based experimental design on Qualtrics was used, with a pre-test (N = 200). The main study data were collected using Amazon's Mechanical Turk platform.

Findings reveal that negative service experiences lead to higher engagement in negative WOM compared to positive and satisfactory recovery service experiences. Even well-executed recovery efforts may not completely eliminate negative WOM. The mediating role of emotional responses is substantiated, as heightened negative service experiences result in more intense negative emotional responses, leading to increased engagement in negative WOM.

The study emphasizes the importance of service recovery strategies and the need for businesses to consistently strive for exceptional service quality. It also highlights the complexity of customer reactions to service experiences, suggesting that further research is needed to explore the factors that minimize negative WOM across various service contexts.

The purpose of this research is to analyze the influence of heuristics on Brazilian investors' behavior in the decision-making process.

The authors apply the partial least squares structural equation modeling methodology. This sample is composed of 220 investors.

The heuristics of overconfidence and anchoring positively influence investors' decision-making, while loss aversion negatively influences it. The herd effect exhibits no influence. The results also support the idea that decision-making positively influences investors' performance. Investors feel secure in their attitudes regarding financial decision-making, even if their decisions are not always rational as they are affected by biases.

This article explains the influence of heuristics on investors' decision-making and performance in the Brazilian context during the COVID-19 pandemic.

This research aims to model the existing system of destination competitiveness, identifies leverage points and develop revised model to achieve sustainable competitiveness.

System dynamics is used as method of modeling destination competitiveness. Structure of model utilizes 9-factor model as reference. Leverage points are identified using system archetypes. Revised model is built with resource-based view (RBV). Case study was conducted in Samosir, Toba Lake. Data used are secondary data and results of in-depth interviews.

There are 3 sub-systemic characteristics (archetypes) that hinder competitiveness. They are limit to growth quality gap, fix that fails infrastructure and promotion, tragedy of common lake pollution. Destination was unable to meet tourist expectations. Tourists spending decreased, demand size was small. Industries are unable to increase capabilities. Professionals, entrepreneurs, local workers, supporting industries are less interested in entering industry. Government policies do not match with destination's needs. Lake as main attraction is getting polluted. To achieve sustainable competitiveness, destination must utilize their valuable, rare and inimitable (VRI) resources and capabilities to design unique experiences for tourists, hence sustainable.

Government policy should be shifted to prioritizing development of valuable, rare, inimitable and well-organized resources and capabilities of destination, to produce unique tourist experience and achieve sustainable competitiveness.

Methods and findings, combining system dynamics, system archetype, 9-factor model and RBV to achieve sustainable competitiveness is novel and can enrich tourism sustainable competitiveness theory/concept.

Based on Resource Conservation (COR) theory, this study explores the antecedent of team change capability, which consists of the dimensions of learning, process and context and examines how, under the empowering leadership (EL) of middle managers, team change capability (TCC) may be built through team psychological capital (TPSyCap).

The study was conducted with 853 respondents and 55 teams from 11 leading autonomous higher education institutions (AHEIs) in Indonesia.

The results show that EL is positively related to TPsyCap, which mediates the relationship between EL and TCC, particularly for TCC learning capability. However, TPsyCap does not mediate the effect of EL on TCC process capability and TCC- context capability.

This study enriches existing leadership literature, which is considered relevant in building organizational change capabilities, particularly on a team level. Furthermore, the findings reveal TPsyCap is an important intervention mechanism in catalyzing the relationship between EL and TCC.