Islamic and Traditional Corporate Finance: a Comparative Study on WACC

The paper represents a first exploratory study based on the comparison between the Weighted Average Cost of Capital (WACC) of a sample of companies listed on Malaysian Stock Exchange, classified and shared according to the principles of Islamic finance (i.e. riba, risk sharing, haram).In particular, the main aim of the analysis is to provide some evidences of the potential effect on the risk (measured by beta) on the WACC as result of the principles used to divide the companies between Shari’ah Compliant and not Shari’ah Compliant. Generally our findings are focused on a greater level of WACC related to the LCSC that belong to the majority of selected sectors and, according to the principles of Islamic finance, they have shown a leverage ratio lower than that of companies not Shari’ah Compliant

Shareholder value and open innovation: evidence from Dividend Champions

Purpose The purpose of this paper is to analyse the companies listed on the US stock market in order to investigate for the selected companies, called the Dividend Champions, the introduction of an open innovation practice. Design/methodology/approach This study is based on a mixed-methods sequential explanatory design. This research is based on an empirical analysis undertaken with 65 listed companies in order to examine, in the first phase, the Dividend Champions. These firms have increased their dividend yield for at least the past 40 years. In a second phase, this research studies the application of an open innovation practice for those listed companies that have systematically paid increased dividends for 60 years and have, at the same time, beat the market. Findings This study reveals seven listed companies that, for more than 60 years, have regularly paid growing dividends and, at the same time, have beat the yield of the market (i.e. six out of the seven companies). The latter include: American States Water, Dover Corporation, Emerson Electric, Genuine Parts Co., Parker-Hannifin Corporation and Procter &amp; Gamble Co. All of these corporations have adopted or implemented a practice of open innovation. Originality/value To the authors’ knowledge, this is among the first pioneer research work, based on the potential relationship between shareholder value and open innovation. In particular, this paper highlights the fact that US-listed companies can create more value for shareholders over a long period and, at the same time, beat the market by adopting different open innovation practices. </jats:sec

Big data and risk management in business processes: implications for corporate real estate

PurposeThe purpose of this paper is to improve understanding of the integration between big data (BD) and risk management (RM) in business processes (BPs), with special reference to corporate real estate (CRE).Design/methodology/approachThis conceptual study follows, methodologically, the structuring inter-textual coherence process – specifically, the synthesised coherence tactical approach. It draws heavily on theoretical evidence published, mainly, in the corporate finance and the business management literature.FindingsA new conceptual framework is presented for CRE to proactively develop insights into the potential benefits of using BD as a business strategy/instrument. The approach was found to strengthen decision-making processes and encourage better RM – with significant consequences, in particular, for business process management (BPM). Specifically, by recognising the potential uses of BD, it is also possible to redefine the processes with advantages in terms of RM.Originality/valueThis study contributes to the literature in the fields of real estate, RM, BPM and digital transformation. To the best knowledge of authors, although the literature has examined the concepts of BD, RM and BP, no prior studies have comprehensively examined these three elements and their conjoint contribution to CRE. In particular, the study highlights how the automation of data-intensive activities and the analysis of such data (in both structured and unstructured forms), as a means of supporting decision making, can lead to better efficiency in RM and optimisation of processes