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The purpose of this paper is to examine the proposition that unexplained price and volume movements detected by the New Zealand Exchange's (“NZX”) surveillance staff reflect speculative trading.

The paper examines a sample of 98 price queries issued by the NZX between 1996 and 2004 where the company responded with a “no news” announcement to the NZX query. The sample is partitioned between queries of price increases and queries of price decreases. A market model is employed to estimate abnormal returns over the event window period [−30, 30] where day 0 is the date the price query is issued.

The paper finds evidence of large abnormal returns in the immediate pre‐query period but only a partial reversal in the post‐query period following the “no news” announcements.

The absence of a full reversal of the pre‐query abnormal return is interpreted as evidence that prices are being set by informed traders rather than by uninformed or speculative traders. Further research is required to determine whether this reflects breaches of either the continuous disclosure regime or insider trading regulations.

The paper presents the first systematic analysis of the NZX's price query system. The empirical results show that price movements that generate price queries and subsequent “no news” announcements should not be dismissed as mere speculation.

Packaging and labelling have become essential to how food manufacturers generate and deliver value to customers. The information displayed on the packaging can be used to communicate to customers the properties and unique characteristics of a food product (e.g. nutrients, calories and country of origin). To achieve communication goals effectively, manufacturers need to understand how consumers evaluate products based on their attributes. In particular, companies should be aware of which specific product attributes affect consumer buying behaviour and which product attributes are more critical during food assessment. So, the paper aims to investigate consumer's behaviuor linked to typical product attributes indicated on the packaging.

The present study examines consumer willingness to pay (WTP) for a cherry jam with different attributes (brand, type of production method and price) on a sample of 2,166 Italian respondents through a choice experiment using a random parameter logit-error component model.

The results showed that WTP for jams can be affected by attributes such as brand, price and production methods; precisely, they indicated that the level of naturalness in the production process constitutes the main element for the consumer’s choice; however, the considerable weight that price and brand have in influencing the purchasing behaviour of the food consumer was still confirmed: in fact, a p-value of less than 0.05 was found in all cases.

To the best of the authors’ knowledge, this is the first study that assesses the effect of different types of production on WTP for food products. In addition, this study also reflects on the importance of the level of education for consumer choice.

Empirical research on leadership for social justice is in progress in many parts of the world. The purpose of this paper is to explore principals’ school-leadership journeys in response to social-justice issues caused by specific contextual changes at times of uncertainty. It seeks to answer the following key questions: What social-justice issues do principals identify as arising from their schools’ transformation due to contextual changes? How do principals practise leadership for social justice in response to these contextual changes at different levels?

This paper is based on qualitative data from a cross-case study of two principals’ school-leadership journeys. The authors pay particular attention to the understanding of leadership for social justice grounded in principals’ efforts to foster equality in learning development for a diverse student population.

Timely adverse conditions may be required to foster leadership for social justice in schools. The principals reacted to contextual changes at several levels, planning and implementing innovative and flexible interventions to ensure equality in students’ learning development. These findings contribute to international accounts of educational leadership.

This study of leadership for social justice in schools is contextually specific. Therefore, more empirical comparisons of school leadership are required in future studies, as principals’ practices vary between education settings.

This paper offers insights into the evolution of leadership for social justice in schools in response to contextual changes. Principals’ leadership strategies can be reoriented and their actions reshaped to overcome threats to social justice in schools. Accordingly, although leadership for social justice in school communities is culturally and pedagogically inclusive, it is also socially distinctive.

In this chapter, we summarize and build on the current state of the customer mistreatment literature in an effort to further future research on this topic. First, we detail the four primary conceptualizations of customer mistreatment. Second, we present a multilevel model of customer mistreatment, which distinguishes between the unfolding processes at the individual employee level and the service encounter level. In particular, we consider the antecedents and outcomes unique to each level of analysis as well as mediators and moderators. Finally, we discuss important methodological concerns and recommendations for future research.

Nowadays, food problems are likely to arise because of the increasing global population and decreasing arable land. Therefore, it is necessary to increase the yield of agricultural products. Pesticides can be used to improve agricultural land products. This study aims to make the spraying of cherry trees more effective and efficient with the designed artificial intelligence (AI)-based agricultural unmanned aerial vehicle (UAV).

Two approaches have been adopted for the AI-based detection of cherry trees: In approach 1, YOLOv5, YOLOv7 and YOLOv8 models are trained with 70, 100 and 150 epochs. In Approach 2, a new method is proposed to improve the performance metrics obtained in Approach 1. Gaussian, wavelet transform (WT) and Histogram Equalization (HE) preprocessing techniques were applied to the generated data set in Approach 2. The best-performing models in Approach 1 and Approach 2 were used in the real-time test application with the developed agricultural UAV.

In Approach 1, the best F1 score was 98% in 100 epochs with the YOLOv5s model. In Approach 2, the best F1 score and mAP values were obtained as 98.6% and 98.9% in 150 epochs, with the YOLOv5m model with an improvement of 0.6% in the F1 score. In real-time tests, the AI-based spraying drone system detected and sprayed cherry trees with an accuracy of 66% in Approach 1 and 77% in Approach 2. It was revealed that the use of pesticides could be reduced by 53% and the energy consumption of the spraying system by 47%.

An original data set was created by designing an agricultural drone to detect and spray cherry trees using AI. YOLOv5, YOLOv7 and YOLOv8 models were used to detect and classify cherry trees. The results of the performance metrics of the models are compared. In Approach 2, a method including HE, Gaussian and WT is proposed, and the performance metrics are improved. The effect of the proposed method in a real-time experimental application is thoroughly analyzed.

Environmental taxes have been in place for many years to reduce environmental damage and pay more attention to the environment. However, some of the adverse socio-economic impacts that may result from such taxes and the many challenges facing developing countries have necessitated policy reform. Therefore, identifying and prioritizing the factors related to environmental tax reform (ETR) is necessary to help governments and environmental protection agencies (EPAs) focus on this prioritizing to develop and improve this process. Awareness of the benefits of ETR encourages governments to use this policy to reduce adverse environmental impacts and contribute to economic growth.

The primary purpose of this work is to prioritize and taxonomy the factors related to ETR using the Fuzzy Analytic Hierarchy Process (FAHP) approach. In the first stage, 25 factors were extracted from the available literature. These factors were divided into five categories for more accessible review. In the second stage, the FAHP as a Multiple-Criteria Decision-Making (MCDM) Technique was used to prioritize and develop the taxonomy of identified factors and the categories of these factors.

The results show that reducing carbon emissions (DF4) is the essential prioritization factor that governments and environmental organizations can achieve if the ETR is implemented. Following that, reducing greenhouse gas emissions (DF1), double benefit (EcF7) and increase sustainability reports (EnF4) can be achieved by implementing ETR.

This study is geographically limited to Iran. In terms of the study population, this study is limited to 25 academic, tax and public policy experts. Moreover, in this study, FAHP is the only approach used. For further research, the results of this study can be compared with that of other multi-criteria techniques like FAHP, fuzzy TOPSIS or BWM.

Ratings of factors related to ETR can guide and help governments identify important factors that affect environmental tax reform, which can, in addition to controlling ecological pollution will, increase the economic benefits of governments.

This study is the first to identify factors related to environmental tax reform and to develop an MCDM technique for prioritizing these factors and finding important ones.

In this paper we appraise the ways in which use of closed-system proprietary product architectures versus open-system modular product architectures is likely to influence the dynamics and trajectory of new product market formation. We compare the evolutions of new markets in China for gas-powered two-wheeled vehicles (G2WVs) based (initially) on closed-system proprietary architectures and for electric-powered two-wheeled vehicles (E2WVs) based on open-system modular architectures. We draw on this comparison to suggest ways in which the use of the two different kinds of architectures as the basis for new kinds of products may result in very different patterns and speeds of new market formation. We then suggest some key implications of the different dynamics of market formation associated with open-system modular architectures for both the competence-based strategic management (CBSM) of firms and for technology and economic development policies of governments.

Specifically, we suggest how the use of open-system modular product architectures as the basis for new products is likely to result in dynamics of new market formation that call for new approaches to the strategic management of innovation and product creation. We also suggest technology and economic development policies favoring use of open-system modular architectures may stimulate new market formation and related economic development by providing platforms for accelerating technology development and dissemination, facilitating the formation of an industrial base of assemblers and component suppliers, assisting new firms in building customer relationships, enabling more geographically diffused economic development within countries, and facilitating development of export markets. We also suggest directions for further research into the potential for open-system modular product architectures to enable bottom-of-the-pyramid innovation processes, frugal engineering in developing economies, and development of low-cost product variations more generally.

The purpose of this paper is to explore how consumers’ trust is enhanced by e-commerce-based agribusiness companies. It also aims to shed light on the role of social commerce in improving consumers’ trust.

To achieve the research purpose, an in-depth multiple case study is performed. In this study, three cases in short food supply chain (SFSC) in China are selected, and they are all e-commerce agribusiness companies. They adopted common ways to build up, maintain and reinforce consumers’ trust.

It is revealed that the companies innovatively adopted social commerce, both online and offline, to overcome the trust problems usually faced by e-commerce companies. It is also shown that offline contact with potential consumers is an important first step for agribusiness e-commerce entrepreneurs to build up trust with consumers.

By adopting a multiple case study method, the research has limited generalizability to other types of SFSCs. Since the findings are from Chinese agribusiness e-commerce companies, the generalization to other sectors must be done with caution.

Some managerial implications are given as follows: first, offline contact with consumers could be realized through different channels. Taking advantage of existing social network or trying to find consumers in urban communities might be effective ways. Second, trust building with consumers is not an easy task, managers need to emphasize trust building, trust maintaining, as well as trust reinforcing with consumers. In agri-food sector, managers might need to specifically address the importance of food safety and quality so as to not lose consumer trust in one night.

The study has mainly two contributions: first, it has managerial implications for agribusiness e-commerce entrepreneurs, addressing the important role of social presence in building up consumer trust. Second, it contributes to social presence and social relations literature by providing new empirical evidence from e-commerce in agri-food sector and in developing countries.

This study explores the influence of sharing achievement (i.e. sustainability, enjoyment, and economic benefits) obtained by participating in the sharing economy on social entrepreneurial intention (SEI), as well as the role of perceived social worth and social entrepreneurial self-efficacy (SESE).

This study used multiple regression analysis on a sample of 331 MBA students aged between 24 and 48 years.

The findings indicate that sharing achievement is positively related with SEI, and perceived social worth mediates the relationship between them. Moreover, SESE not only has a moderating effect on the relationship between perceived social worth and SEI but also positively moderates the overall mediation model.

Entrepreneurship educators could focus on improving students' SESE through courses and training. Whereas, policymakers and decision makers should actively promote the sharing economy model and regulate its management. Moreover, existing organizers of the sharing economy should improve participants' sharing achievement.

This study determines the relationship between sharing achievement and SEI and enriches the push/pull theory from the perspective of pull factors in the context of the sharing economy. Moreover, by exploring the mediating effect of perceived social worth and the moderating effect of SESE, the study provides understanding on the influence mechanisms of sharing achievements on SEI.

In the recent decade, social media popularity and growth have boosted the development of social commerce (SC). This study aims to explore the significant impact of guanxi (关系) elements (ganqing 感情, renqing 人情 and xinren 信任) on online purchase intentions. Furthermore, this study investigated the moderating role of social support between electronic word-of-mouth (eWOM) and online purchase intentions.

An online survey was conducted on 309 consumers who had online purchasing experience through WeChat, a famous social media application in China. Structural equational modeling was used to test all hypotheses.

The results indicate that guanxi elements are positively related to eWOM, affective attitude and online purchase intentions in SC. Additionally, social support has a significant moderating role between eWOM intention and online purchase intention.

Considering the effects of guanxi elements on eWOM affective attitude and online purchase intention in Chinese SC, online retailers are advised to carefully develop their marketing strategies to retain and attract new consumers. Furthermore, online retailers can use the findings from this study to understand the consequences when online purchase intention is strongly influenced by guanxi elements.

This research extends the current literature by applying the notion of guanxi components to the sense of SC and relating the notion of guanxi components and consumer decisions. The results show an understanding of the reality by which guanxi elements may affect the intention of eWOM sharing and boost online purchase intention.