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The information systems (IS) literature has indicated the importance of data analytics capabilities (DAC) in improving business performance in organizations. The literature has also highlighted the roles of organizations’ data-related resources in developing their DAC and enhancing their business performance. However, little research has taken resource quality into account when studying DAC for business performance enhancement. Therefore, the purpose of this paper is to understand the impact of resource quality on DAC development for business performance enhancement.

We studied DAC development using the resource-based view and the IS success model based on empirical data collected via 19 semi-structured interviews.

Our findings show that data-related resource (including data, data systems, and data services) quality is vital to the development of DAC and the enhancement of organizations’ business performance. The study uncovers the factors that make up each quality dimension, which is required for developing DAC for business performance enhancement.

Using the resource quality view, this study contributes to the literature by exploring the role of data-related resource quality in DAC development and business performance enhancement.

The transition to green growth goals requires the concerted efforts of the whole society. Enterprises, as important players in the market, play a key role in promoting green and sustainable development. The rise of the concept of sustainable development has enabled more enterprises to disclose environmental, social and governance (ESG) information, and ESG behaviour is regarded as a positive strategic behaviour to implement the new development concept. This paper aims to explore the influence of ESG performance on enterprise green innovation.

This study applies a fixed effect model and the regulation effect of empirical analysis to explore the influence of ESG performance on enterprise green innovation. The object of investigation is 2014–2021 Shanghai and Shenzhen A-share listed companies.

The results of an empirical analysis outline the following conclusions: (1) ESG performance has a significant effect on enterprise green innovation, mainly by easing the pressure of the financing enterprise, fitting stakeholders’ environmental protection concept and obtaining employee organizational identity that influences enterprise green innovation. (2) Government regulation positively regulates the role of ESG performance in promoting the green innovation of enterprises. (3) Heterogeneity analysis found that the strengthening role of ESG performance on the green innovation of enterprises is stronger in green invention patents, state-owned enterprises and nonheavily polluting industries.

Despite the valuable findings, this study has a few limitations. Thus, it is necessary to extend the object of investigation by adding other Asian countries, which allows for comparison analysis and allocating best practices for promoting green innovation. Besides, innovation and ESG performance depend on the quality of institutions. In this case, the future study should incorporate the indicators that reveal the quality of institutions (corruption, transparency, digitalisation, voice, accountability, etc.).

According to the above conclusions, this paper proposes suggestions at the level of enterprises, government and investors. At the enterprise level, ESG responsibility should be strengthened, ESG information should be consciously disclosed and the quality of ESG disclosure should be improved. Government departments should play the role of supervisors, improve the construction of ESG information disclosure systems and promote the formation of ESG systems. At the social level, investors should improve the ESG information status and pay more attention to the ESG performance of enterprises.

This study fills the scientific gaps in the analysis impact of ESG performance on the green innovation of enterprises. This paper contributes to the theoretical landscape of ESG efficiency by developing approaches based on two empirical models: testing the impact of enterprise ESG performance on green innovation and testing whether government regulation plays a regulatory role in the relationship between ESG performance and green innovation. Besides, this study analysed the ESG performance and green innovation within the following categories: heavy and nonheavy polluter industries; state and nonstate-owned enterprise groups.

Studies of inter-organizational relationships have traditionally overlooked the human resource management (HRM) field, with most research focusing on collaborations in the technical domain. This study endeavors to explore the impact of organizational human resources (HR) collaborations on HR innovativeness, drawing on theories about organizational learning capabilities to explain this connection. By analyzing the synergies arising from inter-organizational HR collaborations, this study aims to seek to shed light on the potential for HRM to contribute to organizational performance and foster innovation.

The study is based on a quantitative survey conducted among 326 Dutch companies. The survey aims to find out whether these companies collaborate with other organizations on HR-related issues, the extent to which they renew their HRM function, and whether they apply organizational learning practices. The data collected for the survey are analyzed using Hayes PROCESS macro to investigate mediation effects.

As per the study, HR collaboration results in innovation. The research suggests that collaborating with HR across different organizations significantly contributes to HR innovation. This relationship can be explained by the inter-organizational learning practices that organizations adopt. Therefore, when organizations collaborate with each other, they learn from each other, which enhances their learning capabilities and ultimately leads to HR innovation.

This study delves into the extent to which organizations collaborate on HR-related issues, which is a relatively new field. Moreover, it contributes to the research on the connection between inter-organizational relationships and innovation by showing how much of it is explained by organizational learning.

The Gulf Cooperation Council (GCC) countries have been increasingly investing in their economic and social development in recent years, yet the effectiveness of their spending remains unknown although they have been taking reforms to advance their spending efficiency practices.

The study applies a quantitative approach to analyze panel data using a multiple regression model based on the World Economic Forum (WEF) reports of the global competitiveness index (GCI) from 2009 until 2018.

The results show that policies' strength has a positive and significant influence, while national infrastructure and workforce empowerment have a negative and significant influence over the extent of spending efficiency implementation in the GCC countries.

GCI disclosure assessment criteria changed in 2019 and then stopped in 2020 due to COVID-19. A different version of GCI was published in 2020, which focuses on recovering from the COVID-19 pandemic, and no other issues have been published since then. This represented a barrier to recent data collection.

Practical contribution is the value added by this study to a minimal literature on spending efficiency in the GCC countries. This study’s theoretical contribution to knowledge is the integration of the new institutional sociology (NIS) perspective of institutional theory and the resource slack theory to investigate a set of factors rarely explored in relation to their impact on governmental spending efficiency.

This study provides the following recommendations for policymakers: The GCC government should direct government training bodies and universities (in business majors) to include mandatory spending efficiency subjects to enhance current knowledge. Also, the governmental-related bodies of spending efficiency should make agreements with universities and research centers to improve the diverse R&D aspects of government spending efficiency. Another important recommendation is to enforce the adoption of the GRC concept regarding spending efficiency practices for governmental employees to guide them towards implementing spending efficiency practices.

This study's theoretical contribution to knowledge is the integration of the new institutional sociology (NIS) perspective of institutional theory and the resource slack theory to investigate a set of factors rarely explored in relation to their impact on governmental spending efficiency. Also, the practical contribution is the value added by this study to a minimal literature on spending efficiency in the GCC countries. The research has established empirical evidence to support the findings above.

Work-based learning is critical for enhancing employees’ skills and contributing to the firm’s performance. This paper aims to establish the effects of needs assessment on the relationship between training intensity as part of learning and how employees’ skills are reflected in firm performance.

The paper used the World Bank Tanzania Employees Skills Survey (TESS) dataset, which contains 424 firms. This paper estimated the moderated mediation model through partial least squares structural equation modelling (PLS-SEM) and employed the index of moderated mediation to determine if the model was correctly specified.

The results show that among three skills, i.e. technical, interpersonal/communication and work ethic skills, only the level of technical skills mediated the relationship between training and the firm’s performance. The index of moderated mediation suggests a threshold point for the firm’s training needs, above which the indirect effect of training on performance through technical skills starts to decrease. The negative correlation between the firm’s training needs and the indirect effect suggests that employees’ essential human capital qualities, viewed from the angle of their training needs, are among the key factors for executing effective training.

This paper’s conceptual model is limited because it does not incorporate an education variable for the trained employees. In addition, it only conceptualized the perceived most important skills of interpersonal communication, technical skills and work ethic, despite there being other skills that could have been considered. Moreover, the data only measured the present skill level at three on the Likert scale, providing limited room for skill level variance.

Those who decide which training programme deserves priority given limited resources and the firm’s goals need to understand that training is an addition to what their employees already have and, thus, should make extra efforts to equip them with more knowledge relating to their assignments. Moreover, this understanding should extend to the employees themselves.

The paper introduced and showed the necessity of training needs assessment to increase the value of training in enhancing the firm’s performance. We propose a model for assessing training intensity through process analysis. The respective model depicts a threshold point for the firm’s training needs, below which the training will work.

The purpose of this paper is to examine career engagement and perceived employability during the school-to-work transition. We studied within-person changes in career engagement and perceived employability in the transition from higher education to the labor market. We investigated their dynamic reciprocal relationship to unravel whether career engagement or perceived employability is the leading indicator in the relationship in view of providing adequate support for students during the school-to-work transition.

We conducted latent change score (LCS) analyses on a three-wave sample of 701 graduates in Flanders (Belgium). We collected data in July (right before graduation), November and May. LCS is a novel method allowing to simultaneously test change and reciprocal relationships.

Our findings demonstrated how both career engagement and perceived employability changed (within-person) non-linearly during the school-to-work transition. As for their relationship, we found that perceived employability is the driving force in the relationship. Perceived employability fueled subsequent positive changes in career engagement, whereas career engagement did not lead to subsequent changes in perceived employability.

Our study connects the career development and the graduate employability literature, and examines the school-to-work transition from preparation for the labor market to ten months after graduation. We also make an important methodological contribution, demonstrating the added value of LCS for studying employability in higher education. Our findings provide insights in how higher education institutions may support students in the school-to-work transition.

Organisations are confronted with the challenge of navigating various pressures arising from activities that shape environmental and social impacts, which stakeholders find significant. This research endeavours to ascertain a process facilitating the analysis and seamless integration of sustainability into corporate strategy. The goal is to establish an “integrated” ESG governance framework adept at effectively managing institutional pressures.

This research employs an action research approach, focusing on a leading company within the sugar industry. The investigation delves into the relationship dynamics associated with business issues through a process that engages, either directly or indirectly, board members, top managers, as well as industrial and commercial customers, along with final consumers.

The formulation of a sustainability strategy serves as a guiding framework for the Board of Directors in effectively navigating tensions arising from environmental, social and economic pressures.

The research contributes to bridging the realms of business governance and institutional theory (viewed under a paradoxical lens). On a managerial level, the study introduces a structured process aimed at seamlessly integrating sustainability objectives into governance, aligning with international ESG guidelines (OECD, 2023; WEF, 2020).

The originality of this research lies in crafting a sustainability strategy by the BoD that takes into account the impact of governance and responds to the demands of strategic stakeholders.

In recent years, the public sector has faced the challenge of digitalisation. This has significantly impacted the relationships between citizens and public organisations and, thus, it widely affects participatory processes, such as participatory budgeting (PB); in fact, digital tools (DTs) have emerged as a solution, increasing citizen engagement whilst improving efficiency, reducing costs and saving time. This contribution analyses PB in Rome, which is also implemented with DTs, seeking to understand how DTs impact citizens’ role in creating public value.

The study is based on a qualitative approach, precisely by analysing a descriptive and exploratory single case study of PB’s first adoption in Rome in 2019. The information is obtained from multiple sources and examined through document analysis.

In the Roman context, DTs in PB primarily facilitated cost-effective information sharing, offering citizens basic participation. Unfortunately, the potential for more interactive DTs was overlooked, failing to enhance citizen engagement in critical phases like deliberation, evaluation or monitoring. Therefore, the tools did not fully support citizens becoming co-creators of public value instead of just users in governance.

The novelty of this study lies in exploring the difference between the use of DTs that assist citizens/users in improving service quality and those that support citizens in creating a public and shared value. It ventures further to assess various tiers of participation, meditating on the digital elements that stimulate active engagement and value creation instead of simply expanding the participant pool or process efficiency.

Currently, foresight studies have been adapted to incorporate new techniques based on big data and machine learning (BDML), which has led to new approaches and conceptual changes regarding uncertainty and how to prospect future. The purpose of this study is to explore the effects of BDML on foresight practice and on conceptual changes in uncertainty.

The methodology is twofold: a bibliometric analysis of BDML-supported foresight studies collected from Scopus up to 2021 and a survey analysis with 479 foresight experts to gather opinions and expectations from academics and practitioners related to BDML in foresight studies. These approaches provide a comprehensive understanding of the current landscape and future paths of BDML-supported foresight research, using quantitative analysis of literature and qualitative input from experts in the field, and discuss potential theoretical changes related to uncertainty.

It is still incipient but increasing the number of prospective studies that use BDML techniques, which are often integrated into traditional foresight methodologies. Although it is expected that BDML will boost data analysis, there are concerns regarding possible biased results. Data literacy will be required from the foresight team to leverage the potential and mitigate risks. The article also discusses the extent to which BDML is expected to affect uncertainty, both theoretically and in foresight practice.

This study contributes to the conceptual debate on decision-making under uncertainty and raises public understanding on the opportunities and challenges of using BDML for foresight and decision-making.

This project inquires whether transitioning to adopting sustainable practices involves emphasizing the significance of education and skill development that aligns with employees' knowledge. Additionally, this project explores whether soft skills can act as a means for effective communication, collaboration and ethical decision-making when addressing the intricate and socially interconnected nature of sustainability challenges. Thus, this research explores employee sustainability knowledge and soft skills to gain a more nuanced understanding to provide evidence-based recommendations to enhance organizational sustainability initiatives.

This study used a form of chain-referral sampling with two populations. A two-step cluster analysis with a log-likelihood distance measure and Schwarz’s Bayesian criterion was employed to identify communities of employees with different levels of sustainable practices and soft skills knowledge. A corresponding analysis was conducted to better understand different communities in terms of industry and managerial experience. A confirmatory factor analysis was conducted using a covariance-based measurement model to establish measurement validity and reliability and to impute latent variables (i.e. constructs) scores.

Aligning human resource (HR) strategies with these identified knowledge communities enables organizations to strategically enhance comprehensive training programs promoting sustainable practices and soft skills. Tailored training and workforce development programs for each community are recommended, with the proposal of active training methods like Lego Serious Play to dynamically engage employees. As organizations increasingly invest in training, this research offers valuable insights for educators and industry professionals to better cultivate and apply soft skills to develop employee sustainability practices and enhance employee development.

Although this study’s findings are not generalizable to the population, they are useful when considering critical sustainability knowledge and soft skills necessary for employees in the hospitality industry. The convenience sample of this study could have been more robust, with participants with greater tenure in the industry or a better understanding of sustainable practices and soft skill competencies. This research used a Qualtrics survey to gather subject responses. This may have caused biases in responding to the survey, such as a central tendency, immediacy, the rater’s knowledge about each criterion or boredom with the survey length.

The practical implications drawn from this study’s findings offer actionable insights for organizations seeking to enhance sustainability practices within their workforce. As one navigates the diverse landscape of employee categories, including sustainable champions, emerging learners and skillful initiators, it becomes evident that a one-size-fits-all approach to training and workforce education is not conducive to cultivating a sustainable culture. In this section, some possible practical strategies tailored to each employee category are suggested, ensuring that organizations can effectively harness the unique strengths and development needs within their workforce.

Using a social cognitive theoretical lens (Bandura, 1977), sustainable catalysts' elevated knowledge levels make them influential contributors to the organization’s sustainability goals, while their adeptness in soft skills positions them as effective communicators, collaborators and leaders in fostering a culture of sustainability. Figure 1b displays this idea. As such, sustainable catalysts were present four times in the effectiveness of the top five soft skills, meaning these sustainable catalysts should be the area of primary focus as they can assist organizations by educating other employees due to their enhanced soft skills and level of sustainability knowledge.

Rooted in social cognitive theory, this study investigated how HR practices can effectively shape sustainability-related workforce development in the workplace. The results identified distinct knowledge communities – sustainable catalysts, skillful initiators, emerging learners and sustainable champions – aligned with quadrants of sustainable practice effectiveness. Aligning HR strategies with these identified knowledge communities enables organizations to strategically enhance comprehensive training programs promoting sustainable practices and soft skills.