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This study aims to examine the effect of several factors on Muslims' intentions to invest in the Hajj fund Sukuk, Jordan. The study's hypothesis and model were derived from previous studies.

The present study was undertaken based on a self-administered questionnaire of 356 Jordanians who are Muslims and non-investors in Hajj Fund Sukuk. The sample was selected using a purposive sampling method. The data were analyzed using Smart-PLS version 4.

The results indicated that social influence, knowledge, religion and return on investment significantly affect the purchase intention of Jordanian Muslims to invest in Hajj Fund Sukuk.

There are some limitations to this study. First, the study was done in Jordan; thus, additional research might be conducted in other parts of the Islamic world to learn more about the perception of investing in Islamic Sukuk, particularly Hajj Sukuk. Second, while the present study used a quantitative research technique to achieve its purpose, it would be advantageous if the researchers used more qualitative techniques, such as interviews or focus groups, in the future to explore additional factors that may impact Muslims' intent to invest in Hajj Fund Sukuk.

The findings of the current study could help practitioners in the Islamic sukuk industry by identifying the key factors that encourage Muslims to invest in Hajj sukuk. They may use the results of this study in the formulation of marketing policies and the development of marketing strategies to persuade more investors to invest their money in these sukuk.

To the best of the author’s knowledge, this is the first study carried out to better understand the main factors that may influence Muslims to invest in Hajj Sukuk in the Jordanian context. Hence, this study contributes to increasing the body of knowledge in the area of Islamic marketing in general and in the field of Islamic sukuk investment specifically.

This study illustrates the economic and financial dynamics of the sector, analysing the evolution of the main ratios of profitability and financial structure of 1,559 Italian real estate companies divided into the three macro-regions: North, Centre and South, in the period 2011–2020. In this way, it is also possible to verify the responsiveness to the 2020 pandemic crisis.

The analysis uses descriptive statistics tools and the ANOVA method of analysis of variance, supplemented by the Tukey–Kramer test, to identify significant differences between the three Italian macro-regions.

The study shows the increase in profitability after the 2008 crisis, despite its reverberation in the years 2012–2013. The financial structure of companies improved almost everywhere. The pandemic had modest effects on performance.

In the future, other indices should be considered to gain a more comprehensive view. This is a quantitative study based on financial statements data that neglects other important economic and social factors.

Public policies could use this study for better interventions to support the sector. In addition, internal management can compare their company's performance with the industry average to identify possible improvements.

The research analyses an economic field that employs a large number of people, especially when considering the construction and real estate services covered by this analysis.

The study contributes to the literature by providing a quantitative analysis of industry dynamics, with comparative information that can be deduced from financial statements over the years.

The effects of board composition on performance have long been discussed in management research using fractionalization measures. In this study, we propose an alternative measurement approach based on board polarization.

Using an exploratory analysis and applying the polarization measure to German Deutscher Aktienindex (DAX)-, Midcap-DAX (MDAX)- and Small Cap-Index (SDAX)-listed companies, this paper applies the polarization index to examine the relationship between board diversity and performance.

The results show that the polarization concept is well suited to measure principal-agent problems between the members of the management and supervisory boards. We reveal that board polarization is negatively associated with firm performance, as measured by return on investment (ROI).

This exploratory study shows that the measurement of board polarization can be linked to performance differences between companies, which offers promising starting points for further research.

The purpose of this paper is to study the effects of sports sponsorship on brand equity using two managerially related outcomes: price premium and market share.

This study uses a best–worst discrete choice experiment (BWDCE) and compares the outcome with that of the purchase intention scale, an established probabilistic measure of purchase intention. The total sample consists of 409 fans of three soccer teams sponsored by three different competing brands: Nike, Adidas and Puma.

With sports sponsorship, fans were willing to pay more for the sponsor’s product, with the sponsoring brand obtaining the highest market share. Prominent brands generally performed better than less prominent brands. The best–worst scaling method was also 35% more accurate in predicting brand choice than a purchase intention scale.

Future research could use the same method to study other types of sponsors, such as title sponsors or other product categories.

Sponsorship managers can use this methodology to assess the return on investment in sponsorship engagement.

Prior sponsorship studies on brand equity tend to ignore market share or fans’ willingness to pay a price premium for a sponsor’s goods and services. However, these two measures are crucial in assessing the effectiveness of sponsorship. This study demonstrates how to conduct such an assessment using the BWDCE method. It provides a clearer picture of sponsorship in terms of its economic value, which is more managerially useful.

The main aim of this study is to identify and prioritize the factors that influence the adoption of big data analytics (BDA) within the supply chain (SC) of the food industry in India.

The study is carried out in two distinct phases. In the first phase, barriers hindering BDA adoption in the Indian food industry are identified. Subsequently, the second phase rates/prioritizes these barriers using multicriteria methodologies such as the “analytical hierarchical process” (AHP) and the “fuzzy analytical hierarchical process” (FAHP). Fifteen barriers have been identified, collectively influencing the BDA adoption in the SC of the Indian food industry.

The findings suggest that the lack of data security, availability of skilled IT professionals, and uncertainty about return on investments (ROI) are the top three apprehensions of the consultants and managers regarding the BDA adoption in the Indian food industry SC.

This research has identified several reasons for the adoption of bigdata analytics in the supply chain management of foods in India. This study has also highlighted that big data analytics applications need specific skillsets, and there is a shortage of critical skills in this industry. Therefore, the technical skills of the employees need to be enhanced by their organizations. Also, utilizing similar services offered by other external agencies could help organizations potentially save time and resources for their in-house teams with a faster turnaround.

The present study will provide vital information to companies regarding roadblocks in BDA adoption in the Indian food industry SC and motivate academicians to explore this area further.

Economic costs and benefits are at the core while taking decision to adopt digitalization in the supply chain. The present chapter provides an in-depth exploration of the economic dimensions of digital supply chain management (DSCM) adoption in a firm. Drawing from a diverse source of literature, this chapter discusses the effect of economic outlook on DSCM adoption, the economic benefits of DSCM adoption and costs associated with it, and economic analysis and evaluation methodologies. The chapter also shares the case studies illustrating the real-world implications of economic considerations within DSCM initiatives. The chapter highlights how changing international socioeconomic and political dynamics can influence businesses across the globe. By analyzing the impacts of evolving market trends, changing consumer preferences, and geopolitical tensions, organizations can considerably forecast the possible impacts of these macroeconomic forces adeptly. The chapter also undertakes discussion on the economic cost and benefits associated with DSCM adoption. The economic analysis helps understand that the expected benefits outweigh economic costs, substantiating the economic viability of DSCM projects. The chapter concludes by discussing the examples of some real-world companies, highlighting how organizations have successfully applied economic analyses to their DSCM initiatives. This also highlights as to how showcasing how detailed economic assessments can justify substantial investments, deliver operational efficiencies, and reshape industries.

This paper aims to examine the effect of corporate social responsibility (CSR) on firm performance (FP) of companies listed on the Tunis Stock Exchange.

This paper reports on two empirical studies. The first was an exploratory qualitative study carried out on a sample of 30 Tunisian companies operating in different sectors. The second empirical study used a panel data regression analysis, to examine data from 46 companies listed on the Tunis Stock Exchange during the 2017 to 2021 period.

The results of the exploratory qualitative study pointed out the specificities of the Tunisian context as to the importance of CSR. The results highlighted also the importance of the 2018 CSR law in Tunisia, yet it drew attention to the non-implementation of its applying texts, meaning that CSR is not always enforced in the Tunisian context. Moreover, in this qualitative study, most companies confirmed that CSR is a key factor behind good governance practices. By studying the impact of CSR on various FP proxies, the results highlight that CSR has a positive and significant impact on FP measured by ROA as an accounting variable and stock returns as a market-measure variable. In addition, the authors confirm the moderating effect of innovation on the CSR and FP relationship. Indeed, innovation affects corporate FP differently. It hinders accounting-based FP while fostering the market-based one.

The study provides insights for managers into how CSR approaches can be used to maximize profits, improve its FP and reputation, while considering the corporate innovative capacities. CSR is a real performance lever for companies, a means of improving their economic, environmental and social efficiency. It enables companies to anticipate constraints and prevent risks, reduce certain operational costs, optimize resources, communicate a good image and stand out from the competition, gain easier access to innovation, strengthen their competitive edge, gain easier access to financing and strengthen their territorial and social roots.

The main contribution of this paper is the adoption of two empirical approaches. These two methods are complementary. The first is an exploratory qualitative approach aimed at better understanding the current state of CSR implementation by Tunisian companies. The second one is quantitative, a panel data regression analysis. Furthermore, the authors test the moderating effect of innovation on the studied link. To the best of the authors’ knowledge, this is the first paper that investigates the moderating effect of innovation on CSR FP in the Tunisian context. Finally, robustness tests were conducted to test the reliability of this study’s results.

This study analyses the link between product/service innovation, partnerships and Managerial Control System (MCS). Particularly, it aims to analyse empirically the role of MCS in supporting the innovation partnership successful functioning and management.

The sample of this study consists of 106 Italian manufacturing firms belonging to the sectors of the Italian economy with the largest number of registered patents according to the European trend chart on innovation.

The results show that MCS may play a key role in reducing risks and lowering the likelihood of failure of innovation partnerships. Particularly, the authors found a positive correlation between the use of informal control mechanisms and a partnership’s successful performance. Moreover, among informal control, the findings show that trust is the only true informal mechanism that can guarantee a successful collaboration. The results of this study may offer relevant implications for practitioners. With regard to the control of the partnership’s activities, the initiatives and creativity of those who are actively involved in the innovation process should not be inhibited; therefore, stifling them with strict rules and procedures would be ineffective but if a firm is not willing to give up formal control mechanisms altogether because it does not believe that a trust-based coordination is sufficiently reassuring, it should opt for “weak”, albeit formal, control mechanisms based on a shared production and management of plans and reports, thus ensuring a perfect information symmetry among different partners.

Notwithstanding the different opportunities provided by partnerships and strategic alliances to support there is a growing body of evidence of a high failure rate in such organisational forms. One of the causes cited in the literature is the high level of risk associated with alliances as compared to internal development of innovation. The risks mainly arise from the difficulties to obtain cooperation with partners that might have different objectives, and from the potential opportunistic behaviour of some of the partners. This is particularly true in innovation networks where the uncertainty of producing an interesting result is very high and the investments that the partners make are considerable. In this context, MCS could play a relevant role in reducing the risks and decreasing the likelihood of failure.