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Research done to date has produced a wide range of perspectives that center on the junction between the specific function and responsibility of the entrepreneur when applying ethical dimensions to the field of entrepreneurship. By combining a bibliometric analysis with the literature review, the purpose of this paper is to provide an overview of entrepreneurship ethics and its contribution to sustainable development goals, along with future research directions on the topic of entrepreneurship and ethics.

The research looked for literature based on entrepreneurship ethics from the Dimension database. The authors accumulated 2,279 articles for the period of 2002–2022 for analysis. The authors used bibliometric analysis for analyzing the topic with the use of VosViewer and Excel.

By combining a bibliometric analysis with a literature review, this study aimed to provide an overview of the ethics and entrepreneurship and contribution to sustainable development goals. The most influential author and journal are Vanessa Ratten and the Journal of Business Ethics, respectively. The top sustainable development goals (SDGs) being contributed by entrepreneurship ethics are SDG4, SDG8, SDG16, SDG11 and SDG3. By contrasting these two interpretations, the authors have demonstrated that the entrepreneurship environment involves various ethical issues connected to personal, organizational and societal sectors.

The current study may serve as a general guideline for future investigation into this topic.

Regarding the practical ramifications, the findings can help entrepreneurs who are preparing to launch a business or are already doing so. The findings provide a comprehensive framework of success variables that must be considered to improve the venture’s performance.

This study’s originality is from presenting a structured and in-depth literature review that describes the current state of entrepreneurship ethics and its contribution to sustainable development goals. A complete analysis of the data gathered on entrepreneurship ethics is offered to establish that it is sustainable.

This study aims to identify effective behaviors in labor-management negotiation (LMN) and, on that basis, derive overarching psychological principles of successful negotiation in this important context. These empirical findings are used to develop and test a comprehensive negotiation training program.

Twenty-seven practitioners from one of the world’s largest labor unions were interviewed to identify the requirements of effective LMN, resulting in 796 descriptions of single behaviors from 41 negotiation cases.

The analyses revealed 13 categories of behaviors critical to negotiation success. The findings highlight the pivotal role of the union negotiator by illustrating how they lead the negotiations with the other party while also ensuring that their own team and the workforce stand united. To provide guidance for effective LMN, six psychological principles were derived from these behavioral categories. The paper describes a six-day training program developed for LMN based on the empirical findings of this study and the related six principles.

This paper has three unique features: first, it examines the requirements for effective LMN based on a systematic needs assessment. Second, by teaching not only knowledge and skills but also general psychological principles of successful negotiation, the training intervention is aimed at promoting long-term behavioral change. Third, the research presents a comprehensive and empirically-based training program for LMN.

By increasing the digitalization of commercial services citizens' expect more from public services. First of all, this study will strive to identify which problems citizens encounter when they use a complex public service: preparation of an application for a building permit. In the light of the popularity of omnichannel approaches, the study then explores how omni-channel could help to address the problems which have been identified.

We implement the first phases of an action design science research project. We collect data both from citizens and public agencies and frame them as transparency problems. These abstract problems are then addressed by an omnichannel service provision as an abstract solution. The abstract solution is then instantiated in a design in the form of a user scenario developed in collaboration with current and future public officials.

The analysis uncovers multiple transparency issues: it distinguishes between process, case, language, cross-channel and cost transparency. One root cause of the transparency issues observed is the lack of service transparency which defines the purpose and scope of a ser-vice. We therefore recommend defining a service-strategy before informational and technical aspects of an omnichannel approach can be implemented. Following this strategy, omnichannel offers public administrations unique opportunities to excel in citizens' service provision.

The study provides insights into how citizens view complex public services. For researchers, this study offers the conceptualization as transparency issues. Practitioners from the public administrations can also benefit from the concept and vision of omnichannel public services.

This study aims to provide a holistic review of social media influencers (SMIs) research based on a unique approach of bibliometric analysis and content analysis between 2011 and 2020. The review examines the main influential aspects, themes and research streams to identify research directions for the future.

The sample selection and data collection were done from the Scopus database. The sample dataset was refined based on the inclusion and exclusion criteria to determine the final dataset of 183 articles. The dataset was exported in the BibTeX format and then imported into the BiblioShiny app for bibliometric analysis. The content analysis was done following the theory-context-methodology framework.

The several findings of this study include (1) Co-word analysis of most used keywords; (2) Longitudinal thematic evolution; (3) The focus of the research papers as per the theory-context-methodology review protocol are persuasion knowledge model, fashion and beauty industries, Instagram and content analysis, respectively; and (4) The network analysis of the research studies is known as the co-citation analysis and depicts the intellectual structure in the domain. This analysis resulted in four clusters of the research streams from the literature and two emergent themes (Chen et al., 2010)

In general, the previous reviews in the area are either domain, method or theory-based. Thus, this study aims to complement and extend the existing literature by presenting the overall picture of the SMI research with the help of a unique combined approach and further highlighting the trends and future research directions based on the findings of this study.

Adoption of Clinical Decision Support Systems (CDSS) is a crucial step towards the digital transition of the healthcare sector. This review aims to determine and synthesise the influential factors in CDSS adoption in inpatient healthcare settings in order to grasp an understanding of the phenomenon and identify future research gaps.

A systematic literature search of five databases (Medline, EMBASE, PsycINFO, Web of Science and Scopus) was conducted between January 2010 and June 2023. The search strategy was a combination of the following keywords and their synonyms: clinical decision support, hospital or secondary care and influential factors. The quality of studies was evaluated against a 40-point rating scale.

Thirteen papers were systematically reviewed and synthesised and deductively classified into three main constructs of the Technology–Organisation–Environment theory. Scarcity of papers investigating CDSS adoption and its challenges, especially in developing countries, was evident.

This study offers a summative account of challenges in the CDSS procurement process. Strategies to help adopters proactively address the challenges are: (1) Hospital leaders need a clear digital strategy aligned with stakeholders' consensus; (2) Developing modular IT solutions and conducting situational analysis to achieve IT goals; and (3) Government policies, accreditation standards and procurement guidelines play a crucial role in navigating the complex CDSS market.

To the best of the authors’ knowledge, this is the first review to address the adoption and procurement of CDSS. Previous literature only addressed challenges and facilitators within the implementation and post-implementation stages. This study focuses on the firm-level adoption phase of CDSS technology with a theory refining lens.

The Overall Equipment Effectiveness (OEE) is considered a standard for measuring equipment productivity in terms of efficiency. Still, Artificial Intelligence solutions are rarely used for analyzing OEE results and identifying corrective actions. Therefore, the approach proposed in this paper aims to provide a new rule-based Machine Learning (ML) framework for OEE enhancement and the selection of improvement actions.

Association Rules (ARs) are used as a rule-based ML method for extracting knowledge from huge data. First, the dominant loss class is identified and traditional methodologies are used with ARs for anomaly classification and prioritization. Once selected priority anomalies, a detailed analysis is conducted to investigate their influence on the OEE loss factors using ARs and Network Analysis (NA). Then, a Deming Cycle is used as a roadmap for applying the proposed methodology, testing and implementing proactive actions by monitoring the OEE variation.

The method proposed in this work has also been tested in an automotive company for framework validation and impact measuring. In particular, results highlighted that the rule-based ML methodology for OEE improvement addressed seven anomalies within a year through appropriate proactive actions: on average, each action has ensured an OEE gain of 5.4%.

The originality is related to the dual application of association rules in two different ways for extracting knowledge from the overall OEE. In particular, the co-occurrences of priority anomalies and their impact on asset Availability, Performance and Quality are investigated.

This paper aims to review the extant literature on open innovation and new product development (NPD) using bibliometric analysis to gauge the evolving journey of this concept in the domain of Business and Management.

The researcher used the Scopus database to search the relevant documents for bibliometric analysis. The data range was from 2006 till June 2023. Citation analysis, co-citation analysis and co-occurrence of authors' keywords were used for bibliometric analysis.

The paper charts the intellectual structure of literature related to open innovation and NPD. The five major themes emerge as prominent themes in the literature, i.e. Open Innovation: Conceptualization, Dynamic Capabilities and Competitive Advantages; Open Innovation: Contingencies and Possibilities; Co-creation and New Product Development (NPD); Open Innovation for Businesses: A Shifting Paradigm; and Implementing of Open Innovation in Industries: Cases. Besides this, the study also reveals the most influential authors, journals and countries in their contribution to open innovation and new product development. Future research directions are also presented.

The present study contributes on academic and managerial fronts. The study provides important insights contributing to the open innovation and NPD literature. From the organizational point of view, the study provides a detailed understanding of the concept of open innovation and NPD that can aid managers in acquiring a comprehensive knowledge of the concept before using it as a strategic intervention.

The present study identifies the gradual progression of this research area over time. It delineates key themes emerging from past literature, providing avenues for future research.

This study aims to quantify and prioritize the main causes of lean wastes and to apply reduction methods by employing better waste cause identification methodologies.

We employed fuzzy techniques for order preference by similarity to the ideal solution (FTOPSIS), fuzzy analytical hierarchy process (FAHP), and failure mode effect analysis (FMEA) to determine the causes of defects. To determine the current defect cause identification procedures, time studies, checklists, and process flow charts were employed. The study focuses on the sewing department of a clothing industry in Addis Ababa, Ethiopia.

These techniques outperform conventional techniques and offer a better solution for challenging decision-making situations. Each lean waste’s FMEA criteria, such as severity, occurrence, and detectability, were examined. A pairwise comparison revealed that defect has a larger effect than other lean wastes. Defects were mostly caused by inadequate operator training. To minimize lean waste, prioritizing their causes is crucial.

The research focuses on a case company and the result could not be generalized for the whole industry.

The study used quantitative approaches to quantify and prioritize the causes of lean waste in the garment industry and provides insight for industrialists to focus on the waste causes to improve their quality performance.

The methodology of integrating FMEA with FAHP and FTOPSIS was the new contribution to have a better solution to decision variables by considering the severity, occurrence, and detectability of the causes of wastes. The data collection approach was based on experts’ focus group discussion to rate the main causes of defects which could provide optimal values of defect cause prioritization.

The purpose of this article’s research was threefold. Firstly, it aimed to investigate how social services professionals coped during the pandemic period by comparing their involvement in five different national contexts. Secondly, it analysed how these professionals have performed their duties according to the street-level bureaucracy theory. Finally, the third question examines social workers' strategies to guide their professional role when they may have had more discretion in their actions. The research also examined whether discretion has increased during this phase and, if so, how it has been exercised.

This article is based on the findings of the project called “Theory and Practice of Social Work in the World in Times of Pandemic”, which was funded by the International Association of Schools of Social Work (IASSW). The project involved 11 universities across five countries in Europe and Latin America, including Argentina, Brazil, Italy, Spain and Sweden. The research was conducted over 24 months to analyse the practices and measures taken to protect vulnerable people by adapting social services during the extraordinary period of the pandemic. In addition, the research explored how the awareness of emergency arose among social workers and how it influenced the services delivered from the perspective of the street-level bureaucracy theory. In different countries, the level of resourcefulness of services has varied based on their recognition of the severity of the pandemic and the impact of the government’s narratives. In some cases, these narratives have been conspiratorial or even anti-scientific. Additionally, there has been a reduction in the distance between professionals and clients, increased inequalities in access to services and a positive reassessment of the potential of new professional tools, such as digital social work, in establishing a trusting relationship.

As revealed in the interviews, the elements shaping this high degree of discretion among social workers can be classified into three levels: macro- and micro- (Saruis, 2015) plus a meso-level. Each level has four significant aspects. At the macro-level, these are legislation, public information, large associationism and integration of the social services-health system. At the meso-level, these are interpretations of role performance by managers technical equipment, self-organization and community action. The micro-level pertains to personal and family situations, emotions, ethics and social workers' direct relationships with those in charge.

This study investigated how social workers responded to the Covid-19 pandemic. The data gathered sheds light on their understanding of the situation, as well as the differences in experiences across the five countries studied. However, it is essential to note that the findings may not apply to all situations or countries. Nevertheless, this research serves as a stepping stone for future studies to delve deeper into the results and explore them in greater detail .

The study highlights the crucial role of social workers as street-level workers in managing, negotiating and creating meaning in the interaction between professionals and the people they serve. This is especially relevant in Latin America. Additionally, the study emphasizes the significance of social workers as policy actors and the political nature of social work practice. The findings also underscore the importance of effective communication and collaboration between social workers, their teams and the organizations they work for. The sources cited in the study are Barberis and Boccagni (2014) and Cuadra and Staaf (2014). The research has also underscored the potential of social service workers to build networks and cooperate. Such networking can play a vital role in implementing their acquired knowledge. The study has, therefore, emphasized the importance of social workers being an integral part of the societies they serve. They need to continuously enhance their communication skills, using all the necessary tools to gain a comprehensive and updated understanding of the evolving needs of their clients. Integrating digital social work as a mode of service provision has emerged as a crucial aspect, especially in the three European countries observed. This approach has demonstrated its potential and is expected to continue being a part of services to some extent, even after the return to normalcy. However, it is essential to ensure that the accessibility and proximity of services are not compromised in any way.

An unexpected result was observed during the research: the pandemic circumstances have led to valuable reflections. These reflections can help in rethinking and recreating social services. Social workers have been given a unique opportunity to return to the essence of their profession and develop less bureaucratic and more humane ways of working. This experience has also enabled them to recover a closer relationship with the people they serve. To sum up, this study emphasizes that social workers, when given more leeway in their work, rely on cultivating and upholding relationships with other professionals, organizations and stakeholders to stay connected with the community they serve. This is crucial for ensuring the delivery of effective and sustainable social services.

The research employed a thematic analysis approach (Bazeley, 2007) to identify themes related to the concept of consciousness as derived from the field experiences of social workers. Additionally, an in-case and cross-case analysis method (Fereday and Muir-Cochrane, 2006) was used to connect themes related to individual experiences with those gathered from the overall experiences.

This study aims to explore the relationship between the degree of state-owned enterprises’ (SOEs) mixed reform and the environmental response of enterprises, against the background of actively promoting the reform of mixed ownership in China.

The study is conducted on a sample of A-share listed manufacturing companies in Shanghai and Shenzhen of China, investigated for the period 2015 to 2020. The baseline regression results are robust to a series of robustness and endogeneity tests. To deal with the issue of endogeneity, the technique of instrumental variable method has been applied.

The study confirms the U-shaped effect of the depth and restriction of mixed ownership on SOEs’ environmentally responsive behaviour in the manufacturing industry, especially for lower environmental regulation and higher level of risk-taking firms. The findings indicate that the government, shareholders and other stakeholders of enterprises should not simply consider that the mixed reform is directly promoting or reducing the environmental response behaviour of enterprises.

SOEs should improve their shareholding structures to undermine performance enhancement at the expense of the environment and increase environmentally beneficial behaviours. Regulators and governments should improve the institutional mechanism of environmental regulation and make efforts to promote corporate awareness of the environment.

Although the adoption and implementation of environmentally friendly policies are costly, improved environmental response and other social responsibilities are helpful to corporate long-term growth and reputation and obtain more capital market attention. Therefore, firms would benefit from improving their environmental response to protect nature, as well as to enjoy the economic and social benefits of a better environmental response.

To the best of the authors’ knowledge, there is a lack of studies focussing on the environmental behaviour of SOEs of mixed reform. As the mixed reform in China has come to a climax phase in recent several years, SOEs of mixed reform is an ideal environment for research. The study focusses on manufacturing firms as these firms are more susceptible to contribute to environmental pollution, exploitation of natural resources and labour concerns.