Search results

In 2013, the National Mutual Acceptance (NMA) of single ethical review was introduced into the Australian public health sector to address the timeliness of multisite clinical trials. A clinical trial is usually designed to test the effects of an experimental therapeutic product. While all research involving humans must comply with ethical guidelines, clinical trials testing products in Australia are also subject to stringent regulatory controls making the need to meet trial milestones critically import. Commercial clinical trials offer participating research sites substantial financial and clinical advantages. Concerns that bureaucratic processes have impeded commercial investment have influenced countries, including Australia, to introduce single ethical review, where one ethics review is accepted at multiple sites participating in the same research project. Although a central tenet of the NMA is the standardization of the behaviors and procedures of research review, concerns of inconsistency remain. This raises the question of whether the NMA does lead public healthcare agencies to adopt similar research governance practices.

A questionnaire survey was undertaken to explore the current experiences (n = 149) of the NMA in Victorian public health agencies, and 21 semi-structured interviews were conducted to explore expectations of the future of the NMA. The findings indicated that, while there was conformity to many of the process requirements of the NMA, a persistent focus on the needs of each individual healthcare agency rather than on complying with the national system weakened pressure on agencies to adopt standardization.

The NMA has the capacity to be a powerful tool in delivering quality clinical trial outcomes, maximize research resources and create dependable performance metrics if consistent policies and governance are followed.

The purpose of this paper is to understand challenges facing organizations in the twenty-first century and address these challenges through suggesting future leadership development based on relevant leadership theories, which would motivate and guide future research directions in a streamlined manner.

The present study adopted the exploratory literature review, using the integrative method, to review the theoretical and empirical literature on leadership development published since the 2000s, primarily focusing on research published in the Journal of Management Development.

The findings of the current review confirmed that leadership theories are the base for leadership development theories, particularly if the purpose is to address and overcome the current challenges facing organizations. The authors suggest that leadership theories and leadership development theories do not exist in isolation from one another, nor do they exist in isolation from challenges facing organizations.

This review does not cover all studies before the 2000s nor other journals in the field of leadership.

Given that most organizations are suffering from one or more of the following issues: sexual scandals, unethical behaviors, individualism, crises and a low level of performance or productivity, the development of particular leadership skills has become a priority. This study is one of few studies guiding both future leadership development research directions and leadership development initiatives.

This study explores the practical application of the Shariah screening process and how it could be enhanced by converging the same with the ethical screening of stocks.

This study adopts a qualitative research methodology by combining the qualitative descriptive approach and content analysis.

The findings of this research suggest that there is scope to converge ethical screening of stocks with Shariah Screening as the lex loci applicable to Shariah screening is derived from Shariah, which considers ethics as part of determining its rules.

The data from this study reveal several practical applications, the ultimate goal of which is to help the policymakers and stakeholders understand the relevance of the Shariah screening of stocks and get a streamlined screening process, paving the way to enhance the same using ethical screening criteria to develop its function to become much more relevant irrespective of the denomination of faiths.

This is original research, which is expected to contribute to understanding the extent to which Shariah screening can be enhanced by integrating the ethical stock screening dimension to it.

Artificial intelligence (AI) has sparked interest in various areas, including marketing. However, this exhilaration is being tempered by growing concerns about the moral and legal implications of using AI in marketing. Although previous research has revealed various ethical and legal issues, such as algorithmic discrimination and data privacy, there are no definitive answers. This paper aims to fill this gap by investigating AI’s ethical and legal concerns in marketing and suggesting feasible solutions.

The paper synthesises information from academic articles, industry reports, case studies and legal documents through a thematic literature review. A qualitative analysis approach categorises and interprets ethical and legal challenges and proposes potential solutions.

The findings of this paper raise concerns about ethical and legal challenges related to AI in the marketing area. Ethical concerns related to discrimination, bias, manipulation, job displacement, absence of social interaction, cybersecurity, unintended consequences, environmental impact, privacy and legal issues such as consumer security, responsibility, liability, brand protection, competition law, agreements, data protection, consumer protection and intellectual property rights are discussed in the paper, and their potential solutions are discussed.

Notwithstanding the interesting insights gathered from this investigation of the ethical and legal consequences of AI in marketing, it is important to recognise the limits of this research. Initially, the focus of this study is confined to a review of the most important ethical and legal issues pertaining to AI in marketing. Additional possible repercussions, such as those associated with intellectual property, contracts and licencing, should be investigated more deeply in future studies. Despite the fact that this study gives various answers and best practices for tackling the stated ethical and legal concerns, the viability and efficacy of these solutions may differ depending on the context and industry. Thus, more research and case studies are required to evaluate the applicability and efficacy of these solutions in other circumstances. This research is mostly based on a literature review and may not represent the experiences or opinions of all stakeholders engaged in AI-powered marketing. Further study might involve interviews or surveys with marketing professionals, customers and other key stakeholders to offer a full knowledge of the practical difficulties and solutions. Because of the rapid speed of technical progress, AI’s ethical and regulatory ramifications in marketing are continually increasing. Consequently, this work should be a springboard for more research and continuing conversations on this subject.

This study’s findings have several practical implications for marketing professionals. Emphasising openness and explainability: Marketing professionals should prioritise transparency in their use of AI, ensuring that customers are fully informed about data collection and utilisation for targeted advertising. By promoting openness and explainability, marketers can foster customer trust and avoid the negative consequences of a lack of transparency. Establishing ethical guidelines: Marketing professionals need to develop ethical rules for the creation and implementation of AI-powered marketing strategies. Adhering to ethical principles ensures compliance with legal norms and aligns with the organisation’s values and ideals. Investing in bias detection tools and privacy-enhancing technology: To mitigate risks associated with AI in marketing, marketers should allocate resources to develop and implement bias detection tools and privacy-enhancing technology. These tools can identify and address biases in AI algorithms, safeguard consumer privacy and extract valuable insights from consumer data.

This study’s social implications emphasise the need for a comprehensive approach to address the ethical and legal challenges of AI in marketing. This includes adopting a responsible innovation framework, promoting ethical leadership, using ethical decision-making frameworks and conducting multidisciplinary research. By incorporating these approaches, marketers can navigate the complexities of AI in marketing responsibly, foster an ethical organisational culture, make informed ethical decisions and develop effective solutions. Such practices promote public trust, ensure equitable distribution of benefits and risk, and mitigate potential negative social consequences associated with AI in marketing.

To the best of the authors’ knowledge, this paper is among the first to explore potential solutions comprehensively. This paper provides a nuanced understanding of the challenges by using a multidisciplinary framework and synthesising various sources. It contributes valuable insights for academia and industry.

We are long overdue for a conversation about ethical treatment of student researchers. Ethical treatment of research participants has been carefully defined through decades of public conversation, and ethical practices have been institutionalized through mechanisms like mandatory ethics trainings and Institutional Review Boards. Student researchers deserve the same level of consideration. While there are many types of ethical violations of student labor in research projects, there are two that are of particular concern to social movements researchers: use of volunteer labor without clear academic or professional benefits, and failure to ensure the safety of student researchers. The first of these ethical violations is especially common in social movements research because of the emergent nature of protests: new rounds of protests begin and researchers seek to rapidly collect data on a tight timeframe, making grant funding to pay student researchers challenging. The second situation emerges when faculty researchers do not consider the ways students' race, gender identity, or other characteristics, or the nature of the protests themselves might create potential risks for students.

In this paper, I propose using the Belmont Report principles to create guidelines for ethical treatment of student researchers. While these principles were developed for the purposes of protecting research participants, the principles of respect for persons, beneficence, and justice help us to clarify the risks and benefits for student researchers, to find ways to maximize the benefits of student research participation, and to understand and address the inequalities that plague graduate student training.

This study aims to delve into the perspectives of educators on integrating ChatGPT, an AI language model into management education. In the current research, educators were asked to talk as widely as possible about the perceived benefits, limitations of ChatGPT in management education and strategies to improve ChatGPT for management education. Also, shedding light on what motivates or inhibits them to use ChatGPT in management education in the Indian context.

Interpretative phenomenological analysis commonly uses purposive sampling. In this research, the purpose is to delve into educators’ perspectives on ChatGPT in management education. The data was collected from the universities offering management education in Uttarakhand, India. The final sample size for the study was constrained to 57 educators, reflecting the point of theoretical saturation in data collection.

The present study involved educators discussing the various advantages of using ChatGPT in the context of management education. When educators were interviewed, their responses were categorized into nine distinct sub-themes related to the benefits of ChatGPT in management education. Similarly, when educators were asked to provide their insights on the limitations of using ChatGPT in management education, their responses were grouped into six sub-themes that emerged during the interviews. Furthermore, in the process of interviewing educators about potential strategies to enhance ChatGPT for management education, their feedback was organized into seven sub-themes, reflecting the various approaches suggested by the educators.

In the qualitative study, perceptions and experiences of educators at a certain period are captured. It would be necessary to conduct longitudinal research to comprehend how perceptions and experiences might change over time. The study’s exclusive focus on management education may not adequately reflect the experiences and viewpoints of educators in another discipline. The findings may not be generalizable and applicable to other educational disciplines.

The research has helped in identifying the strengths and limitations of ChatGPT as perceived by educators for management education. Understanding educators’ perceptions and experiences with ChatGPT provided valuable insight into how the tool is being used in real-world educational settings. These insights can guide higher education institutions, policymakers and ChatGPT service providers in refining and improving the ChatGPT tool to better align with the specific needs of management educators.

Amid the rising interest in ChatGPT’s educational applications, a research gap exists in exploring educators’ perspectives on AI tools like ChatGPT. While some studies have addressed its role in fields like medical, engineering, legal education and natural sciences, the context of management education remains underexplored. This study focuses on educators’ experiences with ChatGPT in transforming management education, aiming to reveal its benefits, limitations and factors influencing adoption. As research in this area is limited, educators’ insights can guide higher education institutions, ChatGPT providers and policymakers in effectively implementing ChatGPT in Indian management education.

This article explores the emergence of organizational digital transformation in the rapidly advancing technological era. It discusses the origins, driving forces, strategies, challenges and broader implications.

The article employs a scoping review methodology that synthesizes knowledge from the existing literature, research, case studies and other relevant sources.

The findings underscore the pivotal role that organizational digital transformation plays in an era of relentless technological advancement. Leadership, organizational culture and technological enablers are identified as crucial drivers of innovation and competitiveness within organizations. The article also emphasizes ethics as a crucial element of digital transformation, focusing in particular on concerns about data privacy and the morality of artificial intelligence. Additionally, the author talks about anticipated future trends that are anticipated to influence the future of digital transformation, such as the growing influence of artificial intelligence, the trend toward hyper-personalization and the emergence of quantum computing.

The assessment has failed to provide recommendations for the actual implementation because it has mainly concentrated on conceptual and strategic aspects. Furthermore, it does not clearly define the criteria for choosing real-world examples, which limits the representation of the different industries, size ranges of organizations and outcomes associated with digital transformation.

The article stresses the significance of paying attention to the forces driving digital transformation while navigating ethical and societal concerns. In addition to highlighting the importance of anticipating future trends for strategic planning in the rapidly changing digital landscape, it emphasizes the advantages as incentives for organizations to invest in digital initiatives.

The investigation demonstrates how technology contributes to progress while posing complex ethical and change management issues. In light of increased connectivity, data analytics and artificial intelligence, it highlights the crucial need for societal adaptability and highlights the crucial role that cooperative human–machine coexistence plays in responsible development and transformative societal evolution.

The article stands out because it examines organizational digital transformation in-depth while considering its historical roots, ethical implications and future prospects. It is a priceless contribution to the field because real-world case studies and a scoping review provide a distinctive viewpoint and a comprehensive view of the effects of digital transformation on organizations and society.

As the 1960s drew to a close, Congress found itself grappling with an increasing array of complex technological issues that it was ill equipped to analyze and that could be the cause of costly blunders if acted upon incorrectly. To alleviate this situation, the U.S. Office of Technology Assessment (OTA) was created in 1972 under Public Law 92–484 in order to advise Congress on issues in science and technology so that relevant information would be available when pertinent legislation was being developed. Under the leadership of its director John Gibbons, OTA has earned the distinction of providing Congress, that most political of bodies, with timely and objective information without becoming mired in political skirmishes. Despite this distinction, OTA is one of the smallest government agencies, with a budget of twenty million dollars and a staff of 140. Its organization is remarkable for its simplicity. A bipartisan congressional Technology Assessment Board governs the agency overall but appoints the director who has full responsibility for running it. The nine agency divisions are organized according to scientific disciplines and report to the director with little or no intervening bureaucracy. Outside expert advice is available from the Technology Assessment Advisory Council. The result is an organization that is equally balanced politically and scientifically, that is streamlined and efficient, and that allows input from its governing members. This structure also allows great flexibility in the research and production of assessment reports. To do an assessment, OTA deploys its experts to go out and gather the information needed on the wide‐ranging topics it has been commissioned to research. The topics are chosen according to the need and interest of both houses and both political parties. Outside experts are sometimes called upon to do research but OTA exercises the final responsibility over their reports. Factual conclusions and options are presented but opinions are never given. The manner in which the information is acted upon is always left to Congress, a major reason for OTA's success.

The purpose of this paper is to examine an oft‐neglected aspect of qualitative research practice – conducting a pilot – using the innovative approach of “e‐research” to generate both practical and methodological insights.

Using the authors’ “e‐research” pilot as a reflexive case study, key methodological issues are critically reviewed. This review is set in a broader context of the qualitative methods literature in which piloting appears largely as an implicit practice. Using a new and emerging approach (“e‐research”) provides a prompt to review “autopilot” tendencies and offers a new lens for analysing research practice.

The authors find that despite an initial focus on “practical” aspects of data collection within their “e‐research”, the pilot opened up a range of areas for further consideration. The authors review research ethics, collaborative research practices and data management issues specifically for e‐research but also reflect more broadly on potential implications for piloting within other research designs.

The authors aim to offer both practical and methodological insights for qualitative researchers, whatever their methodological orientation, so that they might develop approaches for piloting that are appropriate to their own research endeavours. More specifically, the authors offer tentative guidance to those venturing into the emerging area of “e‐research”.

This paper offers insight into an oft‐ignored aspect of qualitative research, whilst also engaging in an emerging area of methodological interest.

This paper aims to review the extant hospitality and tourism literature on the state of robotics and artificial intelligence (AI) in the service industry. The aim was to highlight the current areas of research on this emerging topic and identify areas for future application and study.

A list of hospitality and tourism journals was used to identify articles related to AI and robotics using the terms AI, robots, robotics, hospitality and tourism, and several combinations thereof. Additional sources were identified through the literature reviews from the identified works.

The findings revealed several studies on the current state of robotics and AI in hospitality and tourism. Additional research examines and discusses implications for internal and external customer service, legal and ethical issues and theory.

This paper provides a compilation of the current studies that examine the impact of robotics and AI in hospitality and tourism. It offers scholars an overview of the current knowledge in the field on this rapidly emerging and evolving topic.

本文审阅了有关服务行业中机器学和智能技术（AI）发展的相关文献。其研究目的在于强调有关这个新兴话题的研究领域和指出未来研究方向。

本文样本包括有关AI和机器学的期刊文献，关键搜索词包括AI、机器人、机器学、酒店管理、旅游，以及几项关键词组合。本文还通过文献综述审阅了多个数据源。

研究结果描述了目前酒店旅游行业机器学和AI有关领域的研究状态。此外本文还研究和提出对于内部和外部客户服务、法律伦理问题、以及理论等领域做出研究启示。

本文对目前有关机器学和AI酒店旅游学术研究进行系统梳理。为学者对其相关领域的现状提供全局视角，并且显示这个新兴话题的迅速发展。

文献综述、AI、机器学、酒店科技