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Significant interest in Integrated Management Systems (IMS), as a key area within ISO-related Management System Standards (MSS) literature, has been evident from both academia and industry over the past three decades. This study aims to map the evolution and current state of IMS research and propose possible directions for future studies.

A comprehensive content and bibliometric analysis of 846 documents from the Scopus database across the period 1995 to 2023 was conducted. This included performance analysis to track publication trends and identify key contributors, and content analysis to specify dominant research methodologies and the MSS most commonly integrated. Furthermore, science mapping techniques—such as co-authorship networks, keyword co-occurrence analysis, and bibliographic coupling—were utilized to outline the collaborative networks and the conceptual and intellectual structure of the field.

The study identifies three principal IMS research themes: the practical implementation of IMS, their role in promoting sustainability and social responsibility, and their impact on continuous performance improvement. It also highlights the field’s evolution and key research constituents—including influential works, prolific authors, leading academic institutions and countries, and top publishing journals. It further reveals that IMS research exhibits strong collaboration across authors and countries, and a rich methodological plurality, notably with a marked increase in empirical surveys in recent years. Additionally, it identifies the most frequently referenced MSS for integration, prominently featuring ISO 9001, ISO 14001, and ISO 45001/OHSAS 18001.

This study is original in its application of a dual analytical approach—bibliometric and content analysis—to provide a holistic overview of IMS research. It offers new insights into the integration of diverse MSS and proposes several promising paths for future research. Among the most prominent are standardizing IMS fundamental specifications, conducting more empirical research with advanced methods to evaluate the effects of MSS integration, providing practical support for organizations in IMS implementation through tailored methodologies and tools, and exploring the potential of Industry 4.0 and 5.0 technologies to advance IMS practices.

 High-performance workplace systems (HPWS) have evolved from being mere buzzwords to essential pillars for organisational success. This calls for in – depth examination by both academic scholars and industry professionals. The study aims to offer a comprehensive academic assessment of the significance of HPWS in enhancing human resource management.

In this study, the authors conducted a literature review (bibliometric and content analysis) of 152 peer-reviewed scholarly articles published from 2003 to 2024. This study used Vosviewer software and the bibliometrics package in R software to investigate publishing patterns, influential contributors, themes and topics underpinning HPWS.

The work offers a thorough and insightful examination of the ideas, components and effects of HPWS on businesses and workers. It presents three research fronts that collectively contribute to the understanding of HPWS.

This work emphasises the significance of incorporating high-performance workplace processes to cultivate a culture of excellence and enhance employee engagement. Organisations can use evidence-based strategies identified in the literature to boost performance, promote job satisfaction and retain high-performing employees.

The study applies HPWSs to inform organisational policy development by acknowledging firms’ inherent capabilities and competencies to integrate HPWS effectively. The results serve as compelling evidence for recognising the capacity of HPWS to impact various facets of an organisation.

Based on the theory of identity, this paper aims to examine the centrality role of entrepreneurs’ identity in the prevalence of the entrepreneurial process in online platforms. Identity is a kind of internal energy that stimulates the neurons of entrepreneurs. Thus, leveraging identity effectively in the digital business cycle is a global challenge of paramount importance.

This study uses a quantitative approach, specifically the covariance-based structural equation modeling method, to examine data collected from a sample of 153 entrepreneurs operating on social media platforms.

The findings highlight the positive impact of social media on entrepreneurs’ identities, revealing three distinct identity types: digital identity, social identity and entrepreneurial identity. However, only entrepreneurial and social identities emerge as significant factors in sustaining the entrepreneurial process. Entrepreneurs operating on online platforms strive for recognition as entrepreneurs while also cultivating trust-based relationships with social media users. This recognition and trust contribute to the overall success of their entrepreneurial endeavors.

Identity centrality in the entrepreneurial process presents itself as a highly sophisticated tool to help young entrepreneurs on social media platforms to identify, construct and even harmonize the different identities they may adopt to adapt to the challenges and opportunities of entrepreneurship. In fact, social media provide several opportunities that foster entrepreneurial aspirations and provide a fertile ground for shaping entrepreneurs’ identities, ensuring the success of their entrepreneurial ventures. The emerging generation of entrepreneurs should prioritize cultivating their entrepreneurial and social identities while maintaining an acute awareness of the importance of having a coherent and relevant online presence.

The results of this study significantly elucidate the mechanisms governing identity formation and its dynamics’ influence on the development of entrepreneurship on social media.

The impacts of institutions on entrepreneurship and innovation, as well as the effects of technological development, have been subject to various research studies. While this theme inherently remains a focus for political decision-makers, there is very little knowledge on the combined role of institutions, entrepreneurial orientations and innovation capabilities on the technological development of countries. In this study, we examine the impacts of entrepreneurial orientation and the innovative capacity of countries through considering the moderating effect of technological development.

The data used in this study has been collected from various sources, including the World Economic Forum United Nations (UN), World Bank (WB), Organization for Economic Cooperation and Development (OECD), World Intellectual Property Organization (WIPO), National Consortium for the Study of Terrorism and Responses to Terrorism (START) and Scimago. The study focuses on 86 countries that are either at stage 2 or stage 3 of development or in the transition from stage 2 to stage 3.

We have found that corporate governance, property rights and security institutions have a positive influence on a country’s entrepreneurial mindset and its ability to innovate. Additionally, we have noted that technological advancements also play a role in moderating this relationship. These findings have important implications for the theory, practice and public policies in this area.

This study emphasizes the substantial impact of institutional quality on the entrepreneurial mindset and innovation capabilities of businesses. It shows that perceiving institutions as more stable can have a positive effect on both entrepreneurial orientation and innovative capabilities, ultimately improving companies' competitiveness.

This study holds the objective of evaluating the impact of formal (e.g. ease of doing business score, start-up procedures to register a business, property rights) and informal (e.g. school life expectancy, collaboration between companies and human capital) institutions on the economic performance of countries in conjunction with the mediating effect of entrepreneurial activities and social performance.

The authors collected quantitative, secondary data from a range of different sources, specifically the World Bank (WB), Global Entrepreneurship Monitor (GEM), World Economic Forum (WEF), Freedom House (FH) and Doing Business (DB) for the years between 2016 and 2018. The authors deployed a quantitative approach based on estimating structural equation models according to the Partial Least Squares (PLS) method.

The authors find that institutions, whether formal or informal, impact positively on economic and social performance with entrepreneurial activities positively mediating the relationship between informal institutions and economic performance and social performance.

The study research holds key implications for strengthening institutional theory. The authors find that our empirical results draw attention to the impact that institutions and their functioning can have on economic performance. Through this alert, the authors aim for researchers, politicians and other diverse decision-makers involved in public policies to prioritise not only the good working of institutions but also fostering entrepreneurship, in order to boost the resulting economic performance.

The study research contributes to the literature by testing the model that links institutions, entrepreneurial activity and economic performance. The authors also help policymakers to become aware of the importance that the quality of institutions has on entrepreneurial activity, and, consequently on economic performance.

Given the importance of chatbots in customer service in tourism, this paper aims to understand the drivers that predispose regular consumers of restaurant recommendation chatbots to continue using them.

A total of 386 regular consumers of a chatbot via WhatsApp restaurant recommender responded to an online questionnaire (inspired by scales found in the literature on technology adoption). Structural equation modeling was used to test the hypotheses.

Significant predictors of intention to continue using these chatbots included “effort expectancy (EE),” “hedonic motivation (HM),” “price value (PV)” and “habit (HT).” Specifically, HT still has a long way to go in terms of its performance, and it will be possible to work on it. Furthermore, two variables, EE and HM, act as a bottleneck when it comes to explaining this recurrent usage intention. Factors such as “performance expectancy (PE),” “facilitating conditions (FC)” and “social influence (SI)” did not influence “behavioral intention (BI).” Likewise, the moderating variables, age and gender, are not significant. Finally, the predictive capability of the model is demonstrated. The study findings will enable the development of effective strategies to foster consumer loyalty to this new technology in the restaurant industry.

This study contributes, building on the suitability of the unified theory of acceptance and use of technology 2 model, to explain users’ intention to continue using chatbot tourism services in the context of an information search for an unplanned and varied purchase decision, namely, restaurant recommendation services. To the best of the authors’ knowledge, this is the first analysis of tourist’s intention to reuse a real and fully functional chatbot via mobile instant messaging.

鉴于聊天机器人在旅游客户服务中的重要性, 本研究旨在了解驱动消费者持续使用WhatsApp餐厅推荐聊天机器人的因素。

共收集386名WhatsApp餐厅推荐聊天机器人的常规用户在线问卷数据（问卷设计参考技术采纳相关文献中的量表）。研究采用结构方程模型（SEM）验证假设。

影响用户持续使用意图的显著预测因素包括“努力期望（EE）”、“享乐动机（HM）”、“价格价值（PV）”和“习惯（HT）”。其中, “习惯（HT）”表现仍有提升空间, 而“努力期望（EE）”和“享乐动机（HM）”是解释持续使用意图的瓶颈因素。此外, “绩效期望（PE）”、“促进条件（FC）”和“社会影响（SI）”对“行为意图（BI）”无显著影响。性别和年龄等调节变量同样不显著。研究结果验证了模型的预测能力, 能够为餐厅行业制定有效策略以增强消费者对这一新技术的忠诚度提供指导。

本研究基于UTAUT2模型, 首次分析了消费者在餐厅推荐服务中持续使用移动即时通讯（MIM）聊天机器人的意图, 为探索非计划性和多样化购买决策背景下的信息搜索服务提供了新见解。

Industry 4.0 (I4.0) technologies and practices are changing the way quality is managed in organizations, giving rise to the movement known as “Quality 4.0” (Q4.0). In this context, this study aims to analyze the barriers organizations face when trying to implement Q4.0 and to examine whether there are significant differences according to size, sector, level of excellence and degree of readiness for Q4.0 implementation.

The sample comprises 107 Spanish organizations with some form of European Foundation for Quality Management (EFQM) excellence recognition system. The methodology includes multivariate techniques (factor analysis and mean difference analysis).

The study has managed to summarize the ten main barriers to the implementation of Q4.0 identified in the literature in three groups: organizational (five barriers), knowledge (two barriers) and technological (three barriers). The main barriers are the high investment in technology required to implement Q4.0 and the need for more training and competence of workers. In addition, SMEs encounter more significant technological barriers when implementing Q4.0 than large companies. However, organizational and knowledge barriers are the same. Organizations in the service sector come across more organizational and knowledge barriers to implementing Q4.0 than industrial organizations; no differences were identified for technological barriers. The higher the EFQM seal of excellence achieved, the lower the knowledge barriers faced, with no differences in organizational and technological barriers. Finally, it is observed that the more prepared organizations are to implement Q4.0, the lower the barriers they face.

The study helps managers identify the barriers they may encounter when implementing Q4.0, which helps design short- and long-term plans to mitigate or break down these barriers.

The study provides empirical evidence on an organization’s barriers to implementing Q4.0. On the other hand, the barriers are related to some of the relevant characteristics that define the organizations, such as their size, the sector of activity, their level of excellence and their degree of preparation for implementing Q4.0.

This study aims to analyze the interaction between environmental, social and governance (ESG) practices and digital capabilities in promoting business model innovation (BMI) in family firms. Specifically, it researches how ESG practices influence BMI in family firms, breaking down this influence into its ESG components.

We used microdata from the Flash Eurobarometer 486 survey, conducted by the European Commission in 2020, which provides detailed data on the challenges and obstacles faced by European businesses. The survey included telephone interviews with key managers from 2,483 family-owned businesses across 27 EU countries.

The analysis found that the environmental, social and governance dimensions of ESG significantly enhance business model innovation in family firms. Additionally, the interaction between environmental practices and digital capabilities significantly enhances business model innovation in family firms, while the interactions between social or governance practices and digital capabilities do not show significant effects.

The study supports the theoretical framework that integrates ESG practices into business model innovation, providing empirical evidence for the concept of sustainable business models. It emphasizes the importance of environmental sustainability, social engagement and robust governance in driving innovation.

Family business managers can use the findings to guide their innovation strategies by integrating ESG practices with digital capabilities. Policymakers can also benefit from understanding the importance of supporting ESG practices and digitalization in family businesses, fostering a regulatory environment that encourages sustainable innovation.

This research expands the theoretical understanding of how ESG practices and digital capabilities interact to foster BMI, particularly in family firms. By breaking down ESG practices into environmental, social and governance components, the study offers a detailed view of their interaction with digital capabilities.

This paper aims to analyze the impact of intellectual capital (IC) on Brazilian companies’ sustainable value creation (VC).

An empirical study was performed using descriptive and multivariate statistics based on the finance, strategy and IC theories. This research is quantitative, explanatory, descriptive, applied and ex post facto and uses traditional economic-financial variables (derived from financial statements – FSs) linked to two established frameworks for IC analysis: the market-to-book ratio (IC-INDEX) and the MVAIC, a variation of the value-added intellectual coefficient (VAIC™).

The findings showed that the IC estimated through the IC-INDEX and the MVAIC frameworks is directly related to the VC of Brazilian companies throughout the entire period and revealed a consistent effect in all time frames analyzed. Both models were robust and complementary in assessing the company’s VC and sustainability. The conclusion shows that IC is the most relevant factor in explaining VC and its continuity over time, regardless of other traditional variables used to study the phenomenon.

From a theoretical perspective, this study contributes to mastering the understanding of the subject by applying two important IC measurement frameworks to explain sustainable VC over time and examining the problem in the Brazilian market – paving the way for future investigations.

This study provides users of accounting and financial information and other market agents with a better understanding of the VC process and the central role of IC in this process. These findings suggest that these asset investments tend to be more qualified to create corporate wealth for shareholders and other stakeholders. Such a result can help improve decision-making processes, besides generating competitive benchmarking and assisting them in financial analysis and resource allocation in the economy.

The uniqueness of the research arises from applying two important IC measurement frameworks (IC-INDEX and MVAIC) simultaneously to explain sustainable VC over time and the analysis in a relevant and complex emerging market – both issues are unexplored in the literature.

Industry 4.0 is based on cyber-physical systems (CPSs); therefore, the risks of cyberattacks tend to increase. A cyberattack is any malicious act that could jeopardize the security of production, accounting and financial systems. This review hypothesizes quality management is in a position to play an important role in preventing and detecting hacker attacks.

To verify this hypothesis, Lakato’s research program was utilized in a bibliometric review. This review was separated into two stages: the first was a descriptive analysis and the second was a scientific mapping, done using a technique known as text mining. This technique was guided by factorial and cluster analysis.

The analysis revealed that this subject is emerging and relevant. It was observed that understanding the vulnerabilities of connected systems is crucial for combating cyberattacks. Furthermore, the study highlighted the potential of multivariate control charts, such as Hotelling’s T-squared charts and Exponentially Weighted Moving Average (EWMA) control charts, in efficiently detecting anomalies in connected systems.

This article introduces an approach integrating quality management, statistical analysis and cybersecurity to safeguard CPSs. By leveraging advanced statistical techniques, such as Hotelling T² charts and EWMA charts, in conjunction with the foundational principles of quality management systems (QMS), such as continuous improvement and process standardization, this could be a potentially robust defense against cyberattacks. The integration of these tools allows for the early detection of anomalies and potential cyber threats, ensuring the prevention of integrity and security of interconnected industrial processes.