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This paper aims to explore factors contributing to music popularity using machine learning approaches.

A dataset comprising 204,853 songs from Spotify was used for analysis. The popularity of a song was predicted using predictive machine learning models, with the results showing the superiority of the random forest model across key performance metrics.

The analysis identifies crucial genre and audio features influencing music popularity. Additionally, genre specific analysis reveals that the impact of music features on music popularity varies across different genres.

The findings offer valuable insights for music artists, digital marketers and music platform researchers to understand and focus on the most impactful music features that drive the success of digital music, to devise more targeted marketing strategies and tactics based on popularity predictions, and more effectively capitalize on popular songs in this digital streaming age.

While previous research has explored different factors that may contribute to the popularity of music, this study makes a pioneering effort as the first to consider the intricate interplay between genre and audio features in predicting digital music popularity.

This study investigates whether the disclosure of derivatives is value relevant in emerging markets and evaluates the effects of the 2008/2009 global financial crisis on the value relevance of derivative disclosures.

Panel regression models using sub-samples and a crisis interaction term were applied to a sample of the 200 largest non-financial firms by market capitalization listed on the Johannesburg Stock Exchange (JSE) from 2005 to 2017 to assess the consequences of the financial crisis.

The results suggest that the disclosure of derivatives is value relevant in the hitherto understudied context of emerging markets. The 2008/2009 financial crisis had a significant impact on derivatives use and the value relevance of derivatives disclosure by JSE-listed companies.

Companies should reconsider both how they employ derivatives as part of their risk management practices and how they communicate derivatives use to stakeholders in the financial statements. The findings facilitate a comparative analysis across various market contexts by researchers and assist investors in better decision-making. The findings can influence regulatory practices and can help standard setters to review disclosure requirements.

The benefits of corporate hedging were studied from an emerging market perspective, using an original dataset and approach to investigate the effects of international financial volatility on emerging markets. The authors tested whether companies are valued differently, based on their disclosure of the use of derivatives in the financial statements, and the effect of the financial crisis on the value relevance derivatives disclosures.

While some hydrogen (H₂) products are available in the industrial market, new clean H₂ applications are considered critical alternatives in decarbonization efforts. As suppliers need to understand how business customers conceive the value of hydrogen, this paper aims to investigate how the value of hydrogen is described in the published evidence and to identify or propose specific tools to assess its value.

An integrative literature review is developed to synthesize studies on the value of hydrogen to identify the main value categories. Then, the authors create a novel guideline by linking three value dimensions: 1) the product-oriented value (including sustainability), 2) the elements of B2B value and 3) the concept of goal-oriented value.

This paper categorizes the aspects of value discussed so far in the literature, suggesting conceptualizing the value of H₂ value-in-use based on economic, environmental, social and technological categories. The missing value categories from the marketing perspective are related to perceived value. A comprehensive guideline for assessing the value of H₂ for business customers was developed to address that gap. The guideline can evaluate hydrogen from a multicategory perspective and compare new hydrogen products with alternatives.

First, the authors present the value of hydrogen in the B2B marketing discussion. Second, the authors propose four hydrogen value categories based on the current state-of-the-art. Third, the authors developed the multicategory guideline for assessing the value of hydrogen products for business customers (VH₂-BC).

The survival of companies today hinges on their adaptability and flexibility, with digital transformation (DT) and organizational slack (OS) playing crucial roles. Despite their recognized importance, these factors are often studied separately. This study aims to explore how OS facilitates DT and evaluate their synergies and trade-offs to improve performance.

Using data from the European Manufacturing Survey, structural equation modeling (PLS-SEM) and fuzzy set qualitative comparative analysis (fsQCA), we investigate causal relationships and possible combinations between different dimensions of OS and DT that contribute to business performance.

We confirmed the positive effect of OS and DT on business performance, highlighting the importance of organizational over technological factors. While not definitively establishing OS as a precursor to DT, our findings underscore the need for human and operational slack to improve performance, especially in less technology-intensive contexts.

Our findings evidence that decision-makers should integrate OS with DT initiatives to improve the firm’s competitiveness. However, it is worth noting that while OS seems essential in low-tech shopfloors, its importance is lower in high-tech environments. Furthermore, within the possible combinations, managers should promote operational slack and digitalization, as it seems fundamental to improve business performance.

This article contributes to the management field in three ways. First, it clarifies controversies by providing evidence of the positive roles of DT and OS as drivers of competitiveness for manufacturing firms. Second, we verify that OS is not directly linked to DT, challenging existing assumptions. Third, it investigates the combinations of OS and DT that drive business performance improvement, emphasizing their synergies and trade-offs.

The study examines the impact of fiscal policy shocks on economic growth and income inequality in Ghana. This has become necessary because of the interdependence between growth and income inequality and the role fiscal policy plays in this relationship in the development process of a country. Thus, a study that investigates how government expenditure shock and tax revenue shock influence the relationship between economic growth and income inequality could assist policymakers to adopt the best policy mix to ensure income equity and sustained economic growth in Ghana.

It employs sacrifice ratio from structural VAR model using quarterly time series data from 1996 to 2019 on Ghana.

Our results show that government expenditure shock impacts economic growth, exchange rate and education positively and significantly in the long run. Also, tax revenue shock has a positive impact on income inequality, economic growth and education. The findings further show that there exists a trade-off between economic growth and income inequality in the long run.

The relationships between fiscal policy shocks, economic growth and income inequality have been extensively discussed among scholars. Understanding how these three macroeconomic variables are determined and their interrelationships are crucial for policymakers. This is because fiscal policy aids in both economic growth and income inequality. In the empirical literature, the emphasis has been on independently estimating the growth effects of fiscal policy or the distribution effects of fiscal policy, leaving out the existence of possible trade-off between economic growth and income inequality following a fiscal shock. To the best of our knowledge, no empirical study has been done on Ghana to empirically examine the trade-off between economic growth and income inequality as we do in this paper.

The current study is designed to investigate the factors that foster the framing of destination competitiveness and establish the factors that drive the contribution of tourism innovations to economic growth in smart tourism destinations.

A four-year panel data were extracted from the World Economic Forum's travel and tourism competitiveness index and data were analysed using Poisson Pseudo Maximum Likelihood regression model.

The findings demonstrate that both the enabling environment and airport infrastructure significantly affect tourism's impact on the economy of the selected smart European tourism destinations. Conversely, human resources and general infrastructure display a negative correlation with tourism's contribution to the economy. However, no data in the sample support the idea that tourism policies, government prioritization or readiness of tourism information and communication technologies impact tourism's contribution to the economy. Additionally, the marginal effects indicate that improving the enabling environment and airport infrastructure can generate additional benefits for the economy through tourism.

The uniqueness of this study is the integration of smart tourism destinations with the measure of destination competitiveness to provide an empirical bridge that links tourism competitiveness to economic growth.

This study aims to develop a modular and prescriptive digital transformation maturity model whose constituent elements have conceptual integrity as well as reveal the priority weights of maturity model components.

A literature review with a concept-centric analysis enlightens the characteristics of constituent parts and reveals the gaps for each component. Therefore, the interdependency network among model dimensions and priority weights are identified using decision-making trial and evaluation laboratory (DEMATEL)-based analytic network process (ANP) method, including 19 industrial experts, and the results are robustly validated with three different analyses. Finally, the applicability of the developed maturity model and the constituent elements are validated in the context of the manufacturing industry with two case applications through a strict protocol.

Results obtained from DEMATEL-based ANP suggest that smart processes with a priority weight of 17.91% are the most important subdimension for reaching higher digital maturity. Customer integration and value, with a priority weight of 17.30%, is the second most important subdimension and talented employee, with 16.24%, is the third most important subdimension.

The developed maturity model enables companies to make factual assessments with specially designed measurement instrument including incrementally evolved questions, prioritize action fields and investment strategies according to maturity index calculations and adapt to the dynamic change in the environment with spiral maturity level identification.

A novel spiral maturity level identification is proposed with conceptual consistency for evolutionary progress to adapt to dynamic change. A measurement instrument that is incrementally structured with 234 statements and a measurement method that is based on the priority weights and leads to calculating the maturity index are designed to assess digital maturity, create an improvement roadmap to reach higher maturity levels and prioritize actions and investments without any external support and assistance.

The purpose of this literature review is, first, to understand how employees with disabilities in the context of COVID-19 have been studied under the talent management (TM) approach; second, to explore what we know about the predictors and outcomes that have been linked to TM practices in that area; and third, to identify gaps in our understanding and provide insights for future research.

This paper presents a systematic literature review (SLR) based on 38 academic sources published in high-impact indexes from 2020 to 2023.

The existing research shows COVID-19 as a crucial context that led organizations to more precarious and segmented TM practices, which had negative consequences for employees with disabilities, both at the individual level (reduced satisfaction and income, and increased health issues) and the organizational level (increased unemployment, turnover and discrimination as well as declining performance and productivity).

This paper provides essential contributions to the field of TM in the relatively unexplored context of employees with disabilities since the emergence of COVID-19. Our literature review suggests there is significant room for developing and implementing adjusted TM strategies and practices to foster effective inclusiveness, accommodations and supportive work environments for employees with disabilities. From this evidence, a number of key avenues for future research and key implications for academics and practitioners are provided.

Grounded in social cognitive career theory (SCCT), this study aims to examine the influence of contextual factors on the relationship between career satisfaction and organizational commitment, within the banking sector in Kuwait.

This study used a cross-sectional design analyzing a self-report questionnaire (N = 278).

This study investigates affective, normative and continuance commitment in relation to career satisfaction, within the banking sector in Kuwait. Findings indicate a positive relationship between career satisfaction and all of affective, normative and continuance commitment; although the relationship that appears to be the strongest is between career satisfaction and normative commitment.

The single site, cross-sectional approach is a limitation. The data were collected before the COVID-19 pandemic. Future research into career satisfaction and organizational commitment in different sectors is necessary and a replication of this study in a post-COVID context would also be valuable.

Human resource development (HRD) policies in contexts such as Kuwait should prioritize career progression initiatives to enhance career satisfaction and contribute to increased organizational commitment. More attention is necessary to organizational HRD career planning and development policies and processes. Effective line manager development programs to equip managers to provide feedback and constructive performance management are recommended, as is the organizational provision of career counseling and guidance to support career development policies and processes.

This study combines the use of established constructs with an SCCT theoretical lends to contribute new theorization of the relationship between career satisfaction and organizational commitment in non-Western cultural contexts. It challenges assumptions in current theorization of the relationship between career satisfaction and commitment that privilege affective commitment over other dimensions.

This study aims to show that employees' excessive work-related use of enterprise social networks (ESN) can be accompanied by some work-related strains, hindering them from continuing utilization of ESN at work. To this end, the impact of employees' excessive work-related utilization of ESN on their discontinuous usage intentions by mediating roles of employees' impression management concerns, privacy concerns and ESN fatigue will be evaluated.

Stimulus-organisms-response (S-O-R) framework has been drawn to support the design of this research. Using an entirely random data collection, 173 ESN users from 10 Iranian organizations were surveyed. The model was assessed using partial least squares structural equations modeling (PLS-SEM).

The results of the study confirm that employees' excessive work-related use of ESN positively affects impression management and privacy concerns, resulting in ESN fatigue. Furthermore, ESN fatigue plays a predicting role in ESN discontinuous usage intention.

According to the obtained results, if work-related use of ESN exceeds a normal threshold (i.e. excessive usage), employees will stop using ESN in their work due to the work-related strains delivered to them, revealing the dark side of ESN usage in organizations.