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The purpose of this paper is to empirically investigate the effect of real credit ratings change on capital structure decisions.

The study uses three models to examine the impact of credit rating on capital structure decisions within the framework of credit rating-capital structure hypotheses (broad rating, notch rating and investment or speculative grade). These hypotheses are tested by multiple linear regression models.

The results demonstrate that firms issue less net debt relative to equity post a change in the broad credit ratings level (e.g. a change from A- to BBB+). The findings also show that firms are less concerned by notch ratings change as long the firms remain the same broad credit rating level. Moreover, the paper indicates that firms issue less net debt relative to equity after an upgrade to investment grade.

The study covers the periods of 2009 to 2016; therefore, the research result may be affected by the period specific events such as the European debt crisis. Moreover, studying listed non-financial firms only in the Tadawul Stock Exchange has resulted in small sample which may not be adequate enough to reach concrete generalization. Despite the close proximity between the GCC countries, there could be jurisdictional difference due to country specific regulations, policies or financial development. Therefore, it will be interesting to conduct a cross country study on the GCC to see if the conclusions can be generalized to the region.

The paper contributes to the literature by testing previous researches on new context (Kingdom of Saudi Arabia, KSA) which lack sophisticated comparable studies to the one conducted on other regions of the world. The results highlight the importance of credit ratings for the decision makers who are required to make essential decisions in areas such as financing, structuring or operating firms and regulating markets. To the best of the authors’ knowledge, this is the first study of its kind that has been applied on the GCC region.

Three scenario-based experiments were conducted to explore the influence of the base option’s price format (just-at vs just-below) on tourists’ upgrade intention. The findings of this research indicated that tourists are more inclined to upgrade the option when the base option’s price is presented in a just-at condition due to the mediating role of tourists’ price perceptions of the upgrade option. This study discovered that the just-at (vs just-below) pricing strategy can lower tourists’ price perceptions of the upgrade choice. This research further explored the moderating of tourists’ mindsets. It was found the threshold-crossing effect will disappear for tourists with fixed mindsets. This study also provides practical implications for travel service providers to set up appropriate pricing strategies to attract tourists to make upgrade decisions.

In the last years the penetration of enterprise resource planning (ERP) systems within small, medium and large organizations increased steadily. Organizations are forced to adapt their systems and perform ERP upgrades in order to react to rapidly changing business environments, technological enhancements and rising pressure of competition. The purpose of this paper is to focus on the critical success factors for such projects.

The paper is based on a literature review and qualitative interviews with CEOs, CIOs, ERP consultants and project managers who recently carried out ERP upgrade projects in their respective organizations.

This paper identifies 14 critical success factors for ERP upgrade projects. Amongst others, effective project management, external support, the composition of the ERP team and the usage of a multiple system landscape play a key role for the success of the ERP upgrade. Furthermore, a comparison to the critical success factors for ERP implementation projects was conducted, and even though there are many similarities between these types of projects, several differences emerged.

ERP upgrade projects have a huge impact on organizations, but their success and antecedents for it are currently under-researched.

The purpose of this paper is to explore the internal interaction mechanism of marine scientific research and education, industrial structure upgrading and marine economic growth from a systematic perspective, based on which this work forecasts their future development trends.

In this study, a multivariate grey model is applied to the prediction of marine scientific research and education, industrial structure upgrading and marine economic growth. Considering the impact of the COVID-19 on marine development, this paper introduces the weakening buffer operator into MGM(1,m) and constructs the AWBO-MGM(1,m) model. To verify the validity and accuracy of the new model, this paper uses AWBO-MGM(1,m), MGM(1,m), GM(1,N), GM(1,1), back propagation neural network and linear regression models for simulation and prediction based on the data from 2010 to 2021, respectively.

From the theoretical perspective, the development of marine scientific research and education can accelerate industrial upgrading and promote marine economic growth by providing high-quality talents, promoting marine science and technology progress and reducing transaction costs; while the upgrading of marine industrial structure and marine economic growth can promote the development of marine scientific research and education by guiding social capital, enhancing talent demand and stimulating market vitality. From the empirical analysis, the AWBO-MGM(1,m) model can effectively deal with epidemic shocks and has higher fitting and prediction accuracy than the other five comparative models.

The government should pay attention to the construction of marine scientific research and education, so as to provide high-quality talents and advanced scientific research results for the high-quality development of marine economy. On the basis of using science and technology to firmly build the primary and secondary marine industries, the government should actively guide the labor, capital and other factors of production to the tertiary industry, thereby promoting the optimization and upgrading of marine industrial structure.

On the one hand, the interplay mechanism of marine scientific research and education, industrial structure upgrading and marine economic growth is analyzed from a systematic perspective; on the other hand, the enhanced AWBO-MGM(1,m) possesses higher forecasting performance and is applicable to the systemic multivariate forecasting problem in the presence of outstanding external shocks.

The purpose of this paper is to investigate the intended and unintended consequences of compliance and auditing pressures in the Bangladeshi garment industry. To explore this issue the authors draw on three medium-sized suppliers. The institutional changes that followed the Rana Plaza accident in April 2013 make Bangladesh in general and the garment industry in particular an interesting and suitable research setting for standards compliance.

The study adopts a multiple case study approach. Face-to-face interviews have been conducted with the owners of three Bangladeshi garment manufacturing firms and several workers. Additionally, organisational documents and local newspaper articles had been collected wherever possible.

The results indicate that the pressure for compliance has led the case companies to prioritise the implementation of measurable standards over the socially grounded needs and priorities of workers. As a consequence certain initiatives instead of adding new social value in fact destroyed previously existing social value. Furthermore, the pressure for compliance created the necessity to find ways to cover the sizable cost of compliance. This prompted firms to pursue process upgrading through technological advancements and increased work pressures on the labour force. These initiatives led to an increased power imbalance and the exclusion of unskilled workers from the job market.

The paper contributes to the understanding of the human rights implications of compliance and auditing pressures and initiatives. Furthermore, in order to further enrich existing knowledge in the critical accounting literature, the study draws on insights from the global value chains (GVC) and international business (IB) literatures.

The paper contributes to the understanding of the human rights implications of compliance and auditing pressures and initiatives. Furthermore, in order to further enrich existing knowledge in the critical accounting literature, the study draws on insights from the GVC and IB literatures.

This paper aims to identify if there is an impact of the rating announcements issued by the agencies on the returns of the stocks of Brazilian companies listed on Brasil Bolsa Balcão, from August 2002 to August 2018, identifying which types of announcement (upgrade, downgrade or the same initial classification) cause variations in prices around the date of disclosure of the rating.

The event study methodology was applied to verify the market reaction around the announcement dates in a 21-day event window (−10, +10). The market model was used to calculate the abnormal returns (ARs), and subsequently, the accumulated ARs.

The hypotheses tests allowed to verify that the accumulated ARs are different, before and after the three types of rating announcements (upgrades, downgrades and the same classification); in upgrades, the mean of accumulated ARs increases in the days before the event, while in downgrades, this increase occurs after the event. This paper concluded that the rating announcements have an impact on the return of stock of the Brazilian market and that the market reaction occurs most of the time before the event happens, which indicates that the market can anticipate the information contained in the changes in credit ratings.

The results have considerable implications for portfolio managers, institutional investors and traders. It facilitates investment decision-making in the face of rating classification announcements. Market participants can pay more attention to their investment strategies and asset allocation during periods of risk rating announcements. Additionally, traders can understand the form of investment strategy for superior earnings.

The importance of the study is related to the fact that the results may explain the causes of specific movements in the Brazilian financial market related to a source of information that may or may not be able to influence the decisions of the financial agents that operate in this market. The justification is centred on the idea that, for investors who somehow react to the announcements, it is relevant to understand the impact of rating classifications on companies, as access to such information allows for more conscious decision-making.

This paper aims to analyse the evolution of Chinese industrial ethnic clusters in Italy, by focusing on the role of social networks and the processes behind the phenomenon of Chinese worker exploitation and entrepreneur “self-exploitation”.

The case study is a sub-cluster of micro and small enterprises owned by Chinese entrepreneurs within the leather industrial district of Florence, Italy. This research adopts the following mixed methods: a small-scale survey to capture the characteristics of the sub-cluster and a social network analysis to describe cluster evolution, complemented by life-course interviews conducted with key informants and entrepreneurs.

Migrant social capital and social networks play a central role in the evolution of the case study sub-cluster. Social networks play a supportive role in migration, job creation, entrepreneurship formation and the creation of business opportunities. Simultaneously, they enhance the phenomenon of worker exploitation and entrepreneur self-exploitation. Furthermore, the more the business community grows, the more the economic performance of ethnic enterprises depends on agglomeration forces produced by the cluster.

The findings suggest a series of potential policies to upgrade the ethnic enterprises' capacities, to increase their formality and inclusion in the Italian social and economic systems and sub-cluster.

To the authors’ knowledge, this paper is the first attempt to examine the evolution of social networks in relation to the phenomenon of Chinese worker exploitation and entrepreneur self-exploitation in an ethnic industrial sub-cluster.

In recent years, governments, donors, and NGOs have increasingly embraced value chain development (VCD) for stimulating economic growth and combating rural poverty. In line with the rise in interest, there has been a proliferation of guides for VCD. The purpose of this paper is to present the results of a review of 11 guides for value chain along six different dimensions, ranging from objectives and value chain definitions to monitoring impact. The paper concludes with suggestions for the use of guides based on local needs and context, and recommendations for future guide development.

The review compares the concepts and methods endorsed and it assesses the strengths and limitations of the guides for steering development practice.

Overall, the guides provide a useful framework for understanding markets and engaging with chain stakeholders, with a strong emphasis on strengthening institutions and achieving sustainability of interventions. However, the guides often lack discussions on the conditions necessary at different levels for VCD to advance development objectives and achieve that sustainability. The guides are designed to be implemented largely independently of the specific context, in which the chain is situated, despite the major implications context has for the design of interventions and overall success of the chain. Attention to mutual learning, whether related to tool design or the outcomes and impacts of VCD interventions, is limited.

More critical reflection and debate is needed on the design of guides for VCD. The authors suggest three areas for this reflection and debate: concepts, methods, and tools for addressing the needs of the poor in value chains; tools for addressing variations in the context; and mechanisms for mutual learning on the design and implementation of VCD.

The paper concludes with various recommendations for guide authors and donors that support VCD.

Within the theoretical framework of global value chains (GVCs), much importance has been given to industrial districts (IDs) and their role as localized manufacturing systems. The regionalization of GVC has opened new questions on the location of manufacturing activities and the potential consequences at the ID level. The reshoring phenomenon challenges internationalization processes, changing the configuration in trade dynamics for IDs. This paper aims to investigate which are the main internationalization patterns followed by district small and medium enterprises (SMEs) under the perspective of the regionalization of GVCs. This will help both practitioners and policymakers to better understand internationalization trajectories aimed at sustaining the economic development of district firms and territories.

The analysis has been conducted using a survey carried out on 210 ID SMEs in the furniture, mechanics and fashion industries located in Veneto and Friuli Venezia Giulia regions, in northeastern Italy. Moreover, data released from the Italian Customs Agency have been merged to detect the trends of interviewed firms’ internationalization between 2005 and 2019.

The results highlight how the geography of internationalization has changed over time, in particular following the regionalization of the GVCs. There are also differences among the industry specializations of IDs. This could be attributable to the strategy pursued by each firm to control the competition both in the domestic market and abroad, also in relation to GVC lead firms’ location strategies.

This paper applies new data on the analysis of ID SMEs related to international transactions over a long period of time. In doing this, this paper adds new insights to the GVC literature and future policies to be implemented to foster the participation of district firms in the global scenario.

This article introduces the Special Issue on Sustainable Management of Heritage Buildings in long-term perspective.

It starts by reviewing the gaps in knowledge and practice which led to the creation and implementation of the research project SyMBoL—Sustainable Management of Heritage Buildings in long-term perspective funded by the Norwegian Research Council over the 2018–2022 period. The SyMBoL project is the motivation at the base of this special issue.

The editorial paper briefly presents the main outcomes of SyMBoL. It then reviews the contributions to the Special Issue, focussing on the connection or differentiation with SyMBoL and on multidisciplinary findings that address some of the initial referred gaps.

The article shortly summarizes topics related to sustainable preservation of heritage buildings in time of reduced resources, energy crisis and impacts of natural hazards and global warming. Finally, it highlights future research directions targeted to overcome, or partially mitigate, the above-mentioned challenges, for example, taking advantage of no sestructive techniques interoperability, heritage building information modelling and digital twin models, and machine learning and risk assessment algorithms.