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This study aims to determine the factors that influence ethical banking behavior among millennials and Gen-Z in Malaysia.

A stratified sample of 525 millennials and Gen-Z of Malaysian banking customers was used. Extended ethical decision-making (EDM) model was tested using partial least square-structural equation model for the analysis.

The findings indicated that the engagement of millennials and Gen-Z in ethical banking is influenced by factors such as intention, judgment and awareness, which shaped both generations’ ethical banking behavior.

This study could be a central reference point and assist banking institutions in understanding the preferences of millennials and Gen-Z.

This study extends the previous EDM model that focused solely on consumer's belief systems. Three aspects differentiate this paper and contribute to its originality, namely, the uniqueness of millennials and Gen-Z behavior, incorporating new variables along with the EDM models and study in Malaysian context.

This paper aims to examine the professional skills and ethical values balanced to generate policies and procedures with significant guidance to give insights into systematic control of integrating simultaneous integrity between the use and maintenance in digital-based recordkeeping.

The investigation was conducted using keywords responsibilities engagement, professional and ethical balance, and records management. Descriptive analysis was applied with the initiative on integrating, evaluating and interpreting the findings of multiple types of research from recent grounded theory.

The finding reveals that determining the potential value of foregoing effort to provide an ultimate application guideline as a counter measure against the emerging challenges of the dynamic records management system needs to adopt appropriate professional and ethical empowerment across the procedural stage in underlying the demand and the response with the express purpose of promoting appropriate and wise usage for the sustainable positive benefit of responsibilities on recording management.

As a pivotal role in determining the potential value of foregoing effort as aimed in this paper, the initiative to provide an ultimate application guideline as a counter measure against the emerging challenges of the dynamic records management system needs to bring along with urging for an appropriate professional and ethical empowerment across the procedural stage proposed referring to the demand and the response with the express purpose of promoting appropriate and wise usage for the sustainable positive benefit of responsibilities on recording management.

Considering the significance of the human resource management (HRM) and corporate social responsibility (CSR) relationship, the aim of this research is twofold: first is to measure the cultural differences between HRM, CSR and sustainable performance relationship (study 1) and second is to identify the how HRM instigates CSR and sustainable performance (study 2) in the hospitality industry of UK and Pakistan.

A mixed-method approach was used to collect the qualitative and quantitative data from upscale hotels. In Study 1, a multi-respondent and time-lagged strategy was employed to collect the data from 162 Pakistani and 290 UK upscale hotels. In Study 2, in-depth semi-structured interviews were conducted to understand the HRM–CSR–performance nexus.

The results of Study 1 highlight the significant cultural differences in the relationships of HRM–CSR–performance, while Study 2 explains that ethical culture, shared objectives, transparency, training and development, and economic incentives are the factors that push the employees to take part in CSR-related activities and attaining higher sustainable performance.

This study addresses the debate on the difference between cross-cultural studies related to implementing Western theories in shaping, developing and implementing business strategies, including CSR, HRM and sustainable performance in an Asian context.

This study aims to analyze the relationship between companies’ business ethics (BE) and corporate social responsibility (CSR), with particular reference to policies toward employees, with the aim of understanding if and how the two concepts are linked and to foster a better management of the company-employee relationship through BE and CSR policies.

Through a content analysis, the authors study three issues related to employees disclosed in Code of Ethics (CE) and CSR report of a sample of Italian companies. Next, using a multivariate regression model, the authors examine the relation between the BE and CSR initiatives, related to employees.

The findings show that CE and CSR initiatives are negatively related. They are distinct concepts, but since the authors find that they are connected, they must also be considered in terms of their mutual dependence. To standardize practices toward employees in a code may induce the need to establish additional corporate social responsibility initiatives that elicit legitimate stakeholder satisfaction.

The analysis focuses on employees, whereas several other CSR aspects that can be explored. Furthermore, additional investigation (through questionnaires or interviews) could deepen this analysis. Furthermore, it might be interesting to consider different countries or more variables, such as cultural differences or different regulations.

The results of this research reveal that BE and CSR initiatives require precise and personalized observations to be properly understood; however, as they are linked, they must also be studied in their mutual interdependencies; this can be very useful to define governance bodies and organizational procedures devoted to BE and CSR issues.

This research provides a tool for evaluating and monitoring CSR and BE principles and can be adapted to many business contexts and refer to different stakeholders.

The existing literature on BE and CSR presents opportunities for further study, as these concepts are often studied without insights into their mutual impacts.

The aim of this paper is to measure the effects of universities' ethical management and positive impact on society affect the faculty engagement through the mediating effect of organizational legitimacy.

Engaged employees are characterized by better performance, increased productivity and by generating higher customer loyalty as well greater economic profit. The commitment to the organization they work for is affected by internal and external inputs. Among these, business ethics and corporate community outreach are key factors for improving employee engagement. The authors developed a survey that was distributed to professors of Spanish universities. To treat the data and test the proposed hypotheses, the authors applied structural equations through PLS-SEM.

This research contributes to the organizational management field literature and advises university administrators to adopt an ethical management style based on information transparency, accountability and faculty member involvement in the decision-making process in order to improve their engagement and, therefore, increasing student satisfaction, academic results and positive impact on the common good.

The novelty of the authors’ research stands in the inclusion of legitimacy as a mediation effect between business ethics and community outreach that affect employees' engagement and, specifically, faculty engagement.

本文旨在量度大學的倫理管理和大學對社會產生的積極影響、如何透過組織合法性的仲介效果影響全體教學人員的敬業忠誠度。

敬業的僱員的特徵是他們有較好的表現、有較高的生產率、及帶來更高的客戶忠誠度和更大的經濟利潤。僱員對其服務組織的忠誠度、是受內部和外部輸入所影響的。在這些輸入中，企業倫理和公司的社區外聯是改善僱員敬業程度的關鍵因素。我們設計了一個調查，並分發給西班牙各大學的教授。我們透過偏最小平方法－結構方程模型 (PLS-SEM) 、運用結構方程式來處理數據及測試提出的假設。

本研究在組織管理文獻方面作出了貢獻，並建議大學行政人員、應採用基於資訊透明、問責制和教學人員在決策過程中能夠參與的合乎道德的管理風格。這是為了改善大學教學人員的敬業忠誠度，並因此也能提昇學生的滿意程度、學業成績及為公眾利益發揮更大的積極影響。

本研究嶄新之處在於納入了合法性、以作為影響僱員敬業程度、特別是大學教學人員敬業程度的企業倫理及社區外聯之間的仲介效果。

This study aims to investigate how living lab (LL) activities align with responsible research and innovation (RRI) principles, particularly in artificial intelligence (AI)-driven digital transformation (DT) processes. The study seeks to define a framework termed “responsible living lab” (RLL), emphasizing transparency, stakeholder engagement, ethics and sustainability. This emerging issue paper also proposes several directions for future researchers in the field.

The research methodology involved a literature review complemented by insights from a workshop on defining RLLs. The literature review followed a concept-centric approach, searching key journals and conferences, yielding 32 relevant articles. Backward and forward citation analysis added 19 more articles. The workshop, conducted in the context of UrbanTestbeds.JR and SynAir-G projects, used a reverse brainstorming approach to explore potential ethical and responsible issues in LL activities. In total, 13 experts engaged in collaborative discussions, highlighting insights into AI’s role in promoting RRI within LL activities. The workshop facilitated knowledge sharing and a deeper understanding of RLL, particularly in the context of DT and AI.

This emerging issue paper highlights ethical considerations in LL activities, emphasizing user voluntariness, user interests and unintended participation. AI in DT introduces challenges like bias, transparency and digital divide, necessitating responsible practices. Workshop insights underscore challenges: AI bias, data privacy and transparency; opportunities: inclusive decision-making and efficient innovation. The synthesis defines RLLs as frameworks ensuring transparency, stakeholder engagement, ethical considerations and sustainability in AI-driven DT within LLs. RLLs aim to align DT with ethical values, fostering inclusivity, responsible resource use and human rights protection.

The proposed definition of RLL introduces a framework prioritizing transparency, stakeholder engagement, ethics and sustainability in LL activities, particularly those involving AI for DT. This definition aligns LL practices with RRI, addressing ethical implications of AI. The value of RLL lies in promoting inclusive and sustainable innovation, prioritizing stakeholder needs, fostering collaboration and ensuring environmental and social responsibility throughout LL activities. This concept serves as a foundational step toward a more responsible and sustainable LL approach in the era of AI-driven technologies.