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The paper discusses the rationale for a widespread reliance on Codes of Conduct (CoC) in European crowdfunding through the lenses of economic theories of self-regulation. By analysing the institutional design of CoCs in crowdfunding, the paper illustrates the differences in their regulatory context, inclusiveness, monitoring and enforcement. It offers the first systematic overview of substantial rules of CoCs in crowdfunding.

A comparative case study of nine CoCs in Europe is used to illustrate differences in their institutional design and discern the economic purpose of the CoC.

The institutional design of different CoCs in Europe mainly supports voluntary theories of self-regulation. In particular, the theory of reputation commons has the most explanatory power. The substantial rules of CoC in different markets show the potential sources of market failure through the perspectives of platforms.

CoCs appear in various regulatory, cultural, and industry contexts of different countries. Some of the institutional design features of CoC might be a result of these characteristics.

Crowdfunding associations wishing to develop their own CoC may learn from a comparative overview of key provisions.

For governments in Europe, contemplating creating or revising bespoke crowdfunding regimes, the paper identifies areas where crowdfunding platforms perceive market failure.

This paper is the first systematic study of self-regulatory institutions in European crowdfunding. The paper employs a theoretical framework for the analysis of self-regulation in crowdfunding and provides a comparison of a regulatory context, inclusiveness, monitoring and enforcement of different CoCs in Europe.

The purpose of this study is to provide insights and guidance for practitioners in terms of ensuring rigorous ethical and moral conduct in artificial intelligence (AI) hiring and implementation.

The research employed two experimental designs and one pilot study to investigate the ethical and moral implications of different levels of AI implementation in the hospitality industry, the intersection of self-congruency and ethical considerations when AI replaces human service providers and the impact of psychological distance associated with AI on individuals' ethical and moral considerations. These research methods included surveys and experimental manipulations to gather and analyze relevant data.

Findings provide valuable insights into the ethical and moral dimensions of AI implementation, the influence of self-congruency on ethical considerations and the role of psychological distance in individuals’ ethical evaluations. They contribute to the development of guidelines and practices for the responsible and ethical implementation of AI in various industries, including the hospitality sector.

The study highlights the importance of exercising rigorous ethical-moral AI hiring and implementation practices to ensure AI principles and enforcement operations in the restaurant industry. It provides practitioners with useful insights into how AI-robotization can improve ethical and moral standards.

The study contributes to the literature by providing insights into the ethical and moral implications of AI service robots in the hospitality industry. Additionally, the study explores the relationship between psychological distance and acceptance of AI-intervened service, which has not been extensively studied in the literature.

This chapter examines the phenomenon of internet users attempting to report and prevent online child sexual exploitation (CSE) and child sexual abuse material (CSAM) in the absence of adequate intervention by internet service providers, social media platforms, and government. The chapter discusses the history of online CSE, focusing on regulatory stances over time in which online risks to children have been cast as natural and inevitable by the hegemony of a “cyberlibertarian” ideology. We illustrate the success of this ideology, as well as its profound contradictions and ethical failures, by presenting key examples in which internet users have taken decisive action to prevent online CSE and promote the removal of CSAM. Rejecting simplistic characterizations of “vigilante justice,” we argue instead that the fact that often young internet users report feeling forced to act against online CSE and CSAM undercuts libertarian claims that internet regulation is impossible, unworkable, and unwanted. Recent shifts toward a more progressive ethos of online harm minimization are promising; however, this ethos risks offering a new legitimizing ideology for online business models that will continue to put children at risk of abuse and exploitation. In conclusion, we suggest ways forward toward an internet built in the interests of children, rather than profit.

The purpose of this paper is to assess the financial performance of the intermediary institutions that have operated in the Turkish capital markets taking the issue of bank-origin and non-bank-origin institutions into account.

Financial performance of the intermediary institutions has been measured by the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method between the years 2005 and 2016. In order to implement the TOPSIS method, the relative importance of financial performance indicators has been determined by Entropy, survey results and considering equal weights approaches.

Empirical findings indicate that the average performances of continuously operating intermediary institutions during the concerned period are above the average performance levels of all intermediaries. Additionally, the average rank of bank-origin intermediary institutions have been found higher than the non-bank origins for all years. This reveals that the average financial performance of the bank-origin intermediary institutions is higher than the average score of non-bank origins during the related years.

This study is unique in terms of evaluating the performance of intermediary institutions in Turkish capital markets with a comprehensive framework. Determining the relative importance of financial performance indicators according to entropy, survey results and equal-weight approaches and revealing the average financial performance ranking methodology for bank-origin and non-bank-origin intermediary institutions have added value.

This paper aims to analyze the impact of transaction costs in portfolio optimization in Peru. The study aims to compare the transaction costs structure applied in Peru with respect to the ones applied in the USA, and over a few dimensions.

The paper opted for an empirical study analyzing the cost of rebalancing portfolios over a set period and dimensions. Stocks have been carefully selected using Bloomberg terminals, and portfolio designed then rebalanced using VBA programming. Over a few dimensions as type and number of stocks, holding period and trading strategy, the behavior of these different transaction costs has been compared. The analysis has been done for four different portfolios.

The paper provides empirical insights about how a retail investor actively trading in Peru can pay up to 14 times more in transaction costs than trading the same portfolio in the USA. These comparatively high transaction costs prevent retail investors to trade in the Peruvian stock market while fueling illiquidity to this market.

The paper deals with a limited amount of Peruvian stocks. Researchers are encouraged to test the proposition further, including other dimensions.

The paper includes implications for any retail investor that wants to invest in Peruvian stocks, giving an insight about how expensive it is to actively rebalance a portfolio in Peru.

This paper fulfils an identified need to study how much it costs to actively invest on the stock market in Peru.

The promotion of autonomous vehicles introduces privacy and security risks, underscoring the pressing need for responsible innovation implementation. To more effectively address the societal risks posed by autonomous vehicles, considering collaborative engagement of key stakeholders is essential. This study aims to provide insights into the governance of potential privacy and security issues in the innovation of autonomous driving technology by analyzing the micro-level decision-making processes of various stakeholders.

For this study, the authors use a nuanced approach, integrating key stakeholder theory, perceived value theory and prospect theory. The study constructs a model based on evolutionary game for the privacy and security governance mechanism of autonomous vehicles, involving enterprises, governments and consumers.

The governance of privacy and security in autonomous driving technology is influenced by key stakeholders’ decision-making behaviors and pivotal factors such as perceived value factors. The study finds that the governmental is influenced to a lesser extent by the decisions of other stakeholders, and factors such as risk preference coefficient, which contribute to perceived value, have a more significant influence than appearance factors like participation costs.

This study lacks an investigation into the risk sensitivity of various stakeholders in different scenarios.

The study delineates the roles and behaviors of key stakeholders and contributes valuable insights toward addressing pertinent risk concerns within the governance of autonomous vehicles. Through the study, the practical application of Responsible Innovation theory has been enriched, addressing the shortcomings in the analysis of micro-level processes within the framework of evolutionary game.

This paper aims to explore the impact of salespeople’s goal orientation and self-regulatory mode on their performance through sales ambidexterity and sales technology infusion (STI) using a sales technology ecosystem approach.

This paper adopts a qualitative methodology, through in-depth interviews with salespeople from a diverse range of industries, age profiles and contexts, to explore the narratives and original meanings related to their goal orientation, self-regulatory mode, ambidexterity, STI and performance.

Sceptics are salespeople who may fear or hesitate to fully use the sales technology, whereas enthusiasts are ambidextrous salespeople with high STI, who are more open to change and able to face uncertainty, regardless of the differences in their background in terms of industry, age and experience.

STI may be influenced by individual factors, such as the salesperson’s goal orientation and self-regulatory mode. Hence, sales organizations should try to foster and facilitate further STI and sales ambidexterity, which are key to achieving positive outcomes in today’s technology-intensive sales settings.

This paper extends the current literature on sales technology and sales ambidexterity within a sales technology ecosystem perspective and provides new insight on the combined impact of these variables on the salesperson’s performance.

The purpose of this paper is to examine the roles and responsibilities of non-state actors (NSAs) in contributing to disaster governance from an international human rights law (IHRL) perspective. In particular, it examines how non-governmental organizations (NGOs) and business enterprises are implicated.

The paper analyzes a range of IHRL instruments, particularly treaties and international soft-law documents, and it utilizes the concepts “human rights-based approaches” (HRBAs) and “direct”/“indirect” human rights obligations to frame and understand how IHRL responsibilities for NSAs arise from these instruments.

IHRL not only includes relevant standards for NSAs in the area of disaster management, but NGOs and businesses also actively engage with IHRL and HRBAs by means of (soft) self-regulatory instruments to further clarify their responsibilities.

The findings are of interest to all actors involved in disaster governance, and are instructive for NGOs and businesses seeking to improve the design of disaster management activity. The research addresses only the responsibility of NGOs and private companies, but the framework of analysis set out is equally of interest to other actors’ activities.

The implications of IHRL for NSAs involved in disaster management are still poorly understood, despite their vast engagement. This study contributes by clarifying the roles and IHRL responsibilities of NGOs and businesses specifically, and articulates how applications of HRBAs may improve the protection of persons.

The purpose of this paper is to explore the relationship between general self-efficacy (GSE), job search self-efficacy (JSSE), extraversion and job search success within a sample of new entrants in the labour market. It is hypothesised that JSSE acts as a mediator between GSE and job search success. Evaluation of the hireability – made by expert interviewers – of new entrants involved in a job interview simulation is proposed as a job search success criterion. Moreover, the moderating role of extraversion on the relationship between JSSE and job search success is explored.

Data were collected on 177 graduates from an Italian university. Participants were involved in a simulation of an interview conducted by experts of the personnel selection process, who gave an evaluation. Macro PROCESS for SPSS was used to test the hypotheses.

GSE has an indirect effect on job search success via JSSE. Moreover, extraversion has a moderating effect on the JSSE–job search success relationship for more extraverted job seekers.

Job search and counselling practitioners should consider extraversion and personal differences to improve the effectiveness of interventions aimed at fostering new entrants' self-regulatory resources and behaviours during the job search.

This study contributes to the existing research about the job search process by testing a new and important job search success criterion, showing that GSE could help new graduates in establishing a specific self-efficacy, such as JSSE, and demonstrating that extraversion interacts with JSSE.