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This research objective is to (1) examine the effect of organizational factors on quality performance, (2) examine the effect of quality performance on competitive advantage and (3) examine the mediating role of quality performance between organizational factors and competitive advantage.

The research sample includes 140 employees in the Windusari village-owned enterprise, in Magelang, Indonesia. Data are collected using 5-Likert scale questionnaires which follow Ferdousi et al. (2019). The dependent variable is a competitive advantage. The Independent variable is organizational factors which are top management support, employee empowerment, employee involvement, reward and recognition, training and customer focus. The mediating variable is quality performance. Data analysis uses path analysis provided by structural equation modeling.

Based on path analysis, organizational factors have a positive effect on quality performance, quality performance has a positive effect on competitive advantage and quality performance mediates the effect of organizational factors on competitive advantage. The results confirm the concept of quality management where continuous improvement of products and services can meet customer expectations and bring the organization to a better position in the industry to face other competitors.

This research extends the previous studies of the relationship between organizational factors and organizational outcomes by considering the effectiveness of the organizational process. This research also contributes to giving new evidence about the relationship between organizational factors, quality management and competitive advantage in the village-owned enterprise in Magelang, Indonesia. This research also contributes to updating the literature on the theory of quality management.

Milk is a perishable food product, one of the primary sources of nutrition. Reports worldwide indicate numerous food frauds and foodborne diseases associated with adulterated milk products. These safety concerns highlight the importance of a visible milk supply chain, which can be achieved by cutting-edge technologies. However, these technologies come with high costs. So, this study aims to propose a framework that integrates blockchain, Internet of Things (IoT) and cloud to enhance visibility with reduced cost in an Australian milk supply chain (AMSC).

A design science research methodology is used, where a proof of concept is also developed at the retailer end to show how blockchain, IoT and cloud can improve visibility with reduced cost in an AMSC.

According to cost and visibility analysis, blockchain implementation in AMSC would generate a high return on investment (ROI). For the given case, ROI becomes positive for all stakeholders after 750 cycles. Integrating IoT, cloud and blockchain is more profitable than just using blockchain. Additionally, technology implementation may not benefit all stakeholders equally. For example, the retailer needs 10 cycles to benefit, but the transporter needs 50 in the given case.

The findings of this study assist milk industries in decision-making regarding technology implementation in their supply chain and motivate them to implement these technologies, resulting in improved trust and coordination among entities and consumers.

A cost and visibility analysis are performed to evaluate the impact of technology implementation on cost and visibility in an AMSC. A SOAR (Strength Opportunities Aspiration Results) analysis is also performed for the strategic planning framework.

The aim of this paper is twofold: to explore the significance and implications of the rise of AI technology for the field of tertiary education in general and, in particular, to answer the question of whether teachers can be replaced by intelligent AI systems such as androids, what that requires in terms of human capabilities and what that might mean for teaching and learning in higher education.

Given the interdisciplinary nature of this conceptual paper, a literature review serves as a methodological tool to access data pertaining to the research question posed in the paper.

This exploratory paper gathers a range of evidence from the philosophy of mind (the mind-body problem), Kahneman’s (2011) System 1 and System 2 models of the mind, Gödel’s (1951) Two Incompleteness Theorems, Polanyi’s (1958, 1966) theory of tacit knowing and Searle’s (1980) Chinese Room thought experiment to the effect that no AI system can ever fully replace a human being because no machine can replicate the human mind and its capacity for intelligence, consciousness and highly developed social skills such as empathy and cooperation.

AI is rising, but there are inherent limits to what machines can achieve when compared to human capabilities. An android can at most attain “weak AI”, that is, it can be smart but lack awareness or empathy. Therefore, an analysis of good teaching at the tertiary level shows that learning, knowledge and understanding go far beyond any quantitative processing that an AI machine does so well, helping us to appreciate the qualitative dimension of education and knowledge acquisition. ChatGPT is robotic, being AI-generated, but human beings thrive on the human-to-human interface – that is, human relationships and meaningful connections – and that is where the true qualitative value of educational attainment will be gauged.

This paper has provided evidence that human beings are irreplaceable due to our unique strengths as meaning-makers and relationship-builders, our capacity for morality and empathy, our creativity, our expertise and adaptability and our capacity to build unity and cooperate in building social structures and civilization for the benefit of all. Furthermore, as society is radically automated, the purpose of human life and its reevaluation will also come into question. For instance, as more and more occupations are replaced by ChatGPT services, more and more people will be freed up to do other things with their time, such as caring for relatives, undertaking creative projects, studying further and having children.

The investigation of the scope and limitations of AI is significant for two reasons. First, the question of the nature and functions of a mind becomes critical to the possibility of replication because if the human mind is like a super-sophisticated computer, then the relationship between a brain and mind is similar (if not identical) to the relationship between a computer as machine hardware and its programme or software (Dreyfus, 1979). [ ] If so, it should be theoretically possible to understand its mechanism and reproduce it, and then it is just a matter of time before AI research and development can replicate the human mind and eventually replace a human teacher, especially if an AI machine can teach just as intelligently yet more efficiently and economically. But if AI has inherent limitations that preclude the possibility of ever having a human-like mind and thought processes, then our investigation can at least clarify in what ways AI/AGI – such as ChatGPT – could support teaching and learning at universities.

All presidential and legislative candidates want to be the winner. However, they do not know the determinants of voters' reasons for making choices. This study aims to investigate the role of education level, political party brand reputation, religiosity brand personality and e-WOM on voters' decisions with implications for voters' loyalty.

The survey method was used to collect data from 1206 respondents who have the right to vote through offline and online using Google forms shared on social media platforms—data analysis using Structural Equation Modeling using the SmartPLS 4.0 program.

The results showed that Brand Reputation of Politics can encourage brand Religious Personality and e-WOM. Brand Religious Personality is a factor that causes the decision to vote. However, the level of education is not a determining factor for Brand Religious Personality and e-WOM. In addition, brand religious personality, e-WOM and Decision to vote can mediate Brand Reputation of Political loyalty.

The findings from this study can help political parties and candidates develop strategies tailored to voters' needs and increase their chances of winning elections.

The novelty in this study is the development of a model that has never been tested before that uses factor sources from marketing science literacy such as Brand, e-WOM and Loyalty. This study also used moderation variables namely choosing decisions, e-WOM, and religious brand personality. The object of this research was conducted in Indonesia, which is included in the list of developing countries but has never been done in any country. The analysis tool uses the new SEM-PLS version 4.0, so it has a level of novelty and implications that are important for political marketing.

Enhanced sustainability performance of the supply-side in all industries, especially of the construction industry (CI), is one of the main pillars of the post-carbon transition in the globalization and post-globalization phases. Focusing specifically on the CI, this chapter emphasises the importance of the post-carbon transition and environmental justice as well as role of the local and global supply-side in the CI in achieving them. Based on an in-depth literature review, this chapter aims to investigate and examine ways of achieving post-carbon transition and environmental justice through enhanced sustainability performance and reduced environmental footprint of the supply-side in the globalization and post-globalization phases. This chapter emphasizes importance of integrated thinking of the post-carbon transition, environmental justice and bio-based industries. Specific focus of this chapter is on the bioeconomy and construction biotechnology as well as on their roles in the post-carbon transition. Post-carbon construction supply chain can support increase in welfare and in competitiveness of the companies in the CI locally and globally. Construction biotechnology and public biodiversity investments, which can have potential for contributing to the post-carbon transition and environmental justice, have been emphasized in this chapter. Furthermore, this chapter provides recommendations on strategies for achieving post-carbon transition and environmental justice in all industries, particularly in the CI, locally and globally. Managers and professionals in all industries, policy makers, academics, nature and future generations can get benefit from this chapter.

This chapter examines the role of the central bank digital currency (CBDC) in achieving the United Nations’ sustainable development goals (SDGs). Digitalisation is transforming the sustainable development landscape, and there is a need for central banks to play a major role in digital transformation for sustainable development. This topic is important to policymakers interested in how central bank innovation can help support SDGs’ realisation. This study is also relevant to researchers researching how a CBDC can be used to achieve SDGs. The author argued that a CBDC could unlock financing for each SDG, provide convenient access to capital and increase payment efficiency. CBDC can also increase the speed of transaction chains and provide greater capital efficiency for investment in sustainable development activities and projects. A CBDC can support realising the United Nations’ SDGs. Policymakers should ensure that the CBDC in their respective countries is designed to incorporate features that consider sustainable development concerns for attaining the United Nations’ SDGs. There has yet to be an attempt to assess how a CBDC can contribute to realising the United Nations’ SDGs. The literature needs to examine the opportunities CBDC presents for achieving SDGs.

This study aims to uncover the constraints of automation and the affordances of augmentation related to implementing artificial intelligence (AI)-powered systems across different task types: mechanical, thinking and feeling.

Qualitative study involving 45 interviews with various stakeholders in artistic gymnastics, for which AI-powered systems for the judging process are currently developed and tested. Stakeholders include judges, gymnasts, coaches and a technology vendor.

We identify perceived constraints of automation, such as too much mechanization, preciseness and inability of the system to evaluate artistry or to provide human interaction. Moreover, we find that the complexity and impreciseness of the rules prevent automation. In addition, we identify affordances of augmentation such as speedier, fault-less, more accurate and objective evaluation. Moreover, augmentation affords to provide an explanation, which in turn may decrease the number of decision disputes.

While the unique context of our study is revealing, the generalizability of our specific findings still needs to be established. However, the approach of considering task types is readily applicable in other contexts.

Our research provides useful insights for organizations that consider implementing AI for evaluation in terms of possible constraints, risks and implications of automation for the organizational practices and human agents while suggesting augmented AI-human work as a more beneficial approach in the long term.

Our granular approach provides a novel point of view on AI implementation, as our findings challenge the notion of full automation of mechanical and partial automation of thinking tasks. Therefore, we put forward augmentation as the most viable AI implementation approach. In addition, we developed a rich understanding of the perception of various stakeholders with a similar institutional background, which responds to recent calls in socio-technical research.

The purpose of the study is to investigate and analyze the dynamics of the government-enterprise grain joint storage mechanism, particularly, focusing on profit-driven speculative behaviors exhibited by enterprises within this context. The study aims to understand the various factors influencing the behavior of stakeholders involved in grain storage, including government storage departments, agent storage enterprises and quality inspection agencies.

The study employs a tripartite evolutionary game model to investigate profit-driven behaviors in government-enterprise grain joint storage. It analyzes strategies of government departments, storage enterprises and quality inspection agencies, considering factors like supervision costs and speculative risks. Simulation analysis examines tripartite payoffs, initial probabilities and the impact of digital governance levels to enhance emergency grain storage effectiveness.

The study finds that leveraging digital governance tools in government-enterprise grain joint storage mechanisms can mitigate risks, enhance efficiency and ensure the security of grain storage. It highlights the significant impact of supervision costs, speculative risks and digital supervision levels on stakeholder strategies, offering guidance to improve the effectiveness of emergency grain storage systems.

The originality of this study lies in its integration of digital governance tools into the analysis of the government-enterprise grain joint storage mechanism, addressing profit-driven speculative behaviors. Through a tripartite evolutionary game model, it explores stakeholder strategies, emphasizing the impact of digital supervision levels on outcomes and offering insights crucial for enhancing emergency grain storage effectiveness.

Resilience of the economy is related with its ability to cope with the challenges (e.g., economic and environmental crises). Economies need to be resilient as countries having resilient economy can enhance welfare of their people and achieve sustainable development (SD). Total factor productivity can be improved through smart technologies, smart workforce, and innovations. It requires holistic and systematic as well as strategic approach as it is directly related with the SD of the countries and welfare of their people. It is directly related with the policies covering all these main aspects with the long-term, systematic, and holistic view. Resilient economies need to enhance their resilience to keep them resilient despite of the changes which can act as threats in the future. Resilience of the economy necessitates transformation of the manufacturing industry (MI) into the sustainable, smart, circular, and global one. In this way MI's competitiveness can be enhanced. For this reason, based on an in-depth literature review, this chapter aims to examine ways for enhancing resilience of the global economy through smart, circular, and competitive MI. Specific focus is on the policies fostering the transformation of the MI into the sustainable, smart, circular, global, and innovative one. This chapter emphasizes the importance of and need for the productivity-based resilient economy. Policy makers, academics, and researchers in the relevant field can get benefit from this chapter.