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A firm’s real estate exposure can have a pronounced effect on the way investors value the enterprise in its entirety. Most of the literature of corporate real estate is mute on the topic of firm valuation and the influence of real estate thereon. When the literature does address the topic of finance, it typically discusses the various schemes available for the capitalisation of real estate, but does not address this in the larger context of firm capitalisation and value. The purpose of this paper is to raise the issue of how real estate’s presence on the balance sheet may influence investors’ views of firm value. We look at a few simple measures and propose a rationale for understanding the effect of real estate on valuation.

We are heading toward a totally different type of economy. The term “information economy” is repeatedly used, but this does not fully describe what is happening. Information becomes valuable when it is connected to intelligence, either human or machine….[M]achine intelligence will grow at a furious rate, but it will be mainly alien intelligence, not human‐like artificial intelligence. What is evolving is an “intelligent‐Web economy,” with corporations designed for increasingly automated, increasingly intelligent, worldwide interaction with inter‐laced virtual operations. Such corporations will increasingly be non‐national, with capital, management, talent, and resources coming from around the planet.

The purpose of this paper is to identify the key benefits of the radio frequency identification (RFID) on various industries and supply chains (SCs) all around the world. In this research, author has looked into different case studies and identified a list of benefits that RFID has brought to various industries. The clear benefits of RFID are: automation; transparency; asset management; velocity; insight; traceability; security; reliability; and capability. To understand RF, fundamental key points are identified and reviewed. Some applications of RFID in SCs are briefly reviewed and ten cases of RFID are discussed.

The paper identifies key benefits of RFID using case studies approach. For this purpose, ten cases are reviewed from the entire industry, and then key benefits of RFID are determined.

To make business systems functional and successfully operational, manufacturers can use RFID solutions to reduce operating costs through decreasing the labor costs, claims, and returns. This will help them to increase the operating income. They also can reduce working capital by enabling reductions in inventory and lowering the inventory write‐off from the return goods and those items that are un‐saleable at the end. It is the collection of such strategies that can bring higher level of profitability and productivity to the business.

Owing to the fact that a better management of production system is related to the full understanding of the technologies implemented and the system under consideration, the paper provides some background to the RFID technology and its benefits for various industries.

Companies recently have begun to look for ways to help make value pioneering more systematic and repeatable. This “Masterclass” paper aims to examine one of the first frameworks for making value innovation an effective, manageable practice, an approach practiced by Mark W. Johnson.

This “Masterclass” paper shows how Johnson's framework for mapping the “basic architecture underlying all successful businesses” can be understood in terms of four main elements of the business model.

A degree of creativity and a willingness to experiment, pilot and adjust as you go, remains part of the business model innovation process, the author found, but Johnson's four‐element framework can serve to “bring the discipline of architecture” to the process, and provide a structure on which “a manageable” and more repeatable innovation activity can be pursued.

The paper explains how to go about developing an innovative business model. The process starts with finding an important unfilled job‐to‐be‐done, and the key to this step is to look at the world of the customer “in a new way” from the outside in rather than through the lens of current products or approaches to segmentation. Thus, the same customer may turn out to have different unfilled jobs‐to‐be‐done in the same product/service category at different times and in different personal contexts.

Johnson highlights three opportunity types – the white space within, the white space beyond and the white space between, and he identifies a different strategy for pursuing each one.

The purpose of this paper is to investigate, both theoretically and empirically, the relationship between optimism (pessimism) – as reflected by animal spirits – and money demand by taking into account transaction costs.

Inspired by the theoretical model of money demand by Teles et al. (2016) the authors incorporate the optimism (pessimism) effects in the money demand. Then, using the consumers’ confidence indicator as a proxy indicator of optimism/pessimism, they estimate the money demand in a panel data framework.

The theoretical framework suggests that the optimism (pessimism) effects on money demand are positive (negative). Empirical evidence for 11 Eurozone countries divided in two groups (i.e. core and periphery) confirms the theoretical considerations.

It appears that periphery countries with a higher sensitivity to the recent financial crisis present lower real money demand sensitivity to consumption expenditures and higher real money demand sensitivity to consumer confidence index. Moreover, in such countries, money demand changes present higher persistence over time. Thus, the authors observe differing attitudes concerning money demand across Eurozone citizens that should be taken into account by monetary policymakers (i.e. the ECB).

The authors introduce, in the vast literature on money demand, both theoretically and empirically the role of optimism (pessimism). Differences across core and periphery Eurozone countries identified.

The purpose of this paper is to examine the factors affecting profitability in Malaysian-listed companies. It has been argued that profitability is the main pillar for any company to survive in the long run. Although profitability is the primary goal of all business ventures, scant attention has been paid to the factors that affect profitability in developing countries. This study investigates the factors affecting profitability in Malaysian-listed companies.

This research is based on five independent variables that were empirically examined for their relationship with profitability. These variables are: firm size (as measured by total sales), working capital (WC), company efficiency (assets turnover ratio), liquidity (current ratio) and leverage (debt equity ratio and leverage ratio). Data of 120 companies listed on Bursa Malaysia covering the period from 2012 to 2014 were extracted from companies’ annual reports. Pooled ordinary least squares regression and fixed-effects were used to analyze the data.

The findings show a strong positive relationship between firm size (total sales), WC, company efficiency (assets turnover ratio) and profitability. The results also show a negative relationship between both debt equity ratio and leverage ratio and profitability. Liquidity (current ratio) has no significant relationship with profitability.

Due to the time limitation, the data includes only 120 companies listed in bursa Malaysia and covers the period from 2012 to 2014.

These results benefit internal users (such as mangers, shareholders and employees). They can realize the determinants of enhancing the profitability of their company after the depreciation of the Malaysian currency and therefore concentrate more on the factors that enhance their companies’ profitability. On the other side, other external users (such as investors, creditors, new established companies, tax authority) also may get advantages of these results. It is clear that those users concern about the profitability of companies and the determinants of their profitability after the currency’s depreciation.

This study differs than previous studies in many ways: first, it focuses on non-financial listed companies in Malaysia. Previous studies have concentrated on companies in the financial sector, such as banking and financial institutions or on industrial organizations. Second, this study analyzes the data in companies’ annual reports for a three-year period from 2012 to 2014. During this period, the economy in Malaysia was fluctuating due to currency depreciation. Third, the study used both return on equity and earnings per share as indicators of profitability. Fourth, the results of the study provide empirical evidence that large size firms with efficiently managed assets can improve operating income and ultimately enhance profitability. Last but not least, this study applies the resource-based theory and the trade-off theory.

The purpose of this paper is to elucidate the emerging landscape of procurement analytics. This paper focuses on the following questions: what are the current and future state of procurement analytics?; what changes in the procurement process will be required to enable integration of analytical solutions?; and what future areas of research arise when considering the future state of procurement analytics?

This paper employs a qualitative approach that relies on three sources of information: executive interviews, a review of current and emerging technology platforms and a small survey of subject matter experts in the field.

The procurement analytics landscape developed in this research suggests that the authors will continue to see major shifts in the sourcing and supply chain technology environment in the next five years. However, there currently exists a low usage of advanced procurement analytics, and data integrity and quality issues are preventing significant advances in analytics. This study identifies the need for organizations to establish a coherent approach to collection and storage of trusted organizational data that build on internal sources of spend analysis and contract databases. In addition, current ad hoc approaches to capturing unstructured data must be replaced by a systematic data governance strategy. An important element for organizations in this evolution is managing change and the need to nourish an analytic culture.

While the majority of forward-looking research and reports merely project broad technological impact of cognitive analytics and big data, much of it does not provide specific insights into functional impacts such as the impact on procurement. The analysis of this study provides us with a clear view of the potential for business analytics and cognitive analytics to be employed in procurement processes, and contributes to development of related research topics for future study. In addition, this study suggests detailed implementation strategies of emerging procurement technologies, contributing to the existing body of the literature and industry reports.