Search results

Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.

The purpose of this study is to frame the dimensions of the external institutional environment, namely, cultural-cognitive, normative and regulative dimensions as the main actors in the organisational field. More precisely, Libyan commercial banks have been identified as empirical evidence, to identify constraints of the institutional environment governing the behaviour and decision-making of commercial banks, when adopting Islamic financial transactions.

A questionnaire has been designed for 14 Libyan commercial banks which is distributed to the Board of Directors, managers, directors of departments, and personnel. The exploratory factor analysis (EFA) and the measurement model by using the first-order and second-order confirmatory factor analysis (CFA) have been applied as essential steps to embody the conceptual framework and test the research hypotheses.

The results of the EFA indicated sufficient correlation among the dimensions of the external environment. The CFA supported this study’s hypotheses. The modelling showed that the cultural-cognitive, normative and regulative dimensions are institutional constraints impeding Libyan commercial banks’ adoption of Islamic financial transactions. Interestingly, the findings of the CFA align with the EFA findings in supporting the conceptual framework of the research. They portrayed that the cultural-cognitive dimension has been identified by explicit and implicit cognition.

This study systematically embodies the dimensions of the external institutional environment, namely, cultural-cognitive, normative and regulative dimensions, as the main factors in the organisational field to be conceptually rich lenses to investigate social considerations to reinforce institutional thought broadly. The results of this study were consistent with extant Islamic financial literature, reflecting symmetry and similarity across commercial banks, particularly at the first stage of adopting Islamic financial transactions.

The purpose of this paper is to examine internet search query data provided by “Google Trends”, with respect to its ability to serve as a sentiment indicator and improve commercial real estate forecasting models for transactions and price indices.

This paper examines internet search query data provided by “Google Trends”, with respect to its ability to serve as a sentiment indicator and improve commercial real estate forecasting models for transactions and price indices.

The empirical results show that all models augmented with Google data, combining both macro and search data, significantly outperform baseline models which abandon internet search data. Models based on Google data alone, outperform the baseline models in all cases. The models achieve a reduction over the baseline models of the mean squared forecasting error for transactions and prices of up to 35 and 54 per cent, respectively.

The results suggest that Google data can serve as an early market indicator. The findings of this study suggest that the inclusion of Google search data in forecasting models can improve forecast accuracy significantly. This implies that commercial real estate forecasters should consider incorporating this free and timely data set into their market forecasts or when performing plausibility checks for future investment decisions.

This is the first paper applying Google search query data to the commercial real estate sector.

The purpose of this paper is to provide new insights into asset liquidity in direct commercial real estate investment in the UK. Transaction data provided by four institutional investors of commercial real estate are used to test for changes in asset liquidity as manifest in recorded times from price agreement to deal completion. Median times to completion by stage of the transaction are presented alongside industry estimates.

Stages of the transaction process are modelled and median times per stage calculated to track changes in asset liquidity over, and between, the two periods of the study (2000‐2002 and 2005‐2008). Real times to completion are considered in conjunction with estimated times compiled through interviews with senior level investment professionals. This paper applies the Wilcoxon rank‐sum test to determine the significance of variation in median times across the two study periods.

This paper provides empirical evidence that liquidity increased from 2000 to 2008. Median times from price agreement to completion decreased significantly (p=0.015) from 2000‐2002 to 2005‐2008, indicating an increase in asset liquidity in step with an overall increase in transaction volume. Furthermore, senior investment actors were found to persistently over‐estimate transaction efficiency and underestimate liquidity risk when acquiring and disposing of commercial properties.

This work offers new insights into the changing nature of asset liquidity over the last decade based on a limited number of transactions. Additional studies involving larger samples of transactions would provide still greater insight into commercial real estate liquidity dimensions.

The paper presents evidence of pro‐cyclicality; asset liquidity varies positively with overall transaction volumes, and investment actors were found to overestimate asset liquidity suggesting a persistent underestimation of liquidity risk.

This paper addresses a gap in the extant literature offering real time on market‐time to completion observations alongside investor estimates. Median times to completion have been modelled and presented, together with time estimates provided by industry experts. Also, for first time in real estate research, median times to completion are shown to shorten significantly in‐line with increasing transaction volumes.

The national objectives of forward exchange controls are to restrain speculation in foreign exchange, to limit international capital flows and to affect the forward exchange rates. Restrictions on forward transactions are economic welfare costs for enterprises and banks, which are analysed in terms of risk‐return and supply‐demand theory. Empirical answers to whether forward exchange control is really necessary await collection and disclosure of company currency exposure, which itself may contribute to the national objectives implicit in forward exchange controls.

Land transactions are a key indicator of urban sustainable development and urban space expansion. Therefore, this paper aims to study the spatial correlation of different types of land transactions.

Based on the big data of land micro transactions in Yangtze River Delta urban agglomeration, this paper uses the generalized forecast error variance decomposition (GFEVD) method to measure the correlation level of urban land markets. Also, social network analysis (SNA) is used to describe spatial correlation network characteristics of an urban agglomeration land market. In the meantime, the factors that influence the spatial correlation of urban land markets are investigated through a quadratic assignment procedure (QAP).

The price growth rate of urban residential land was higher than that of industrial land and commercial land. The spatial relevance of urban residential land is the highest, while the spatial relevance of the urban commercial land market is the lowest. The urban industrial land market, commercial land market and residential land market all present a typical network structure. Population distance (POD) and Engel coefficient distance (EGD) are negatively correlated with the correlation degree of the urban residential land network; traffic distance (TRD) and economic distance (ECD) are negatively correlated with the correlation degree of the urban industrial land network and commercial land network.

This paper uses a systematically-integrated series of problem-solving models to better explain the development path of urban land markets and to realize the integration of the interdisciplinary methods of geography, statistics and big data analysis.

The purpose of this paper is to understand what affects the liquidity of individual commercial real estate assets over the course of the economic cycle by exploring a range of variables and a number of time periods to identify key determinants of sale probability.

Analyzing 12,000 UK commercial real estate transactions (2003 to 2013) the authors use an innovative sampling technique akin to a perpetual inventory approach to generate a sample of held assets for each 12 month interval. Next, the authors use probit models to test how market, owner and property factors affect sale probability in different market environments.

The types of properties that are most likely to sell changes between strong and weak markets. Office and retail assets were more likely to sell than industrial both overall and in better market conditions, but were less likely to sell than industrial properties during the downturn from mid-2007 to mid-2009. Assets located in the City of London more likely to sell in both strong and weak markets. The behavior of different groups of owners changed over time, and this indicates that the type of owner might have implications for the liquidity of individual assets over and above their physical and locational attributes.

Variation in sale probability over time and across assets has implications for real estate investment management both in terms of asset selection and the ability to rebalance portfolios over the course of the cycle. Results also suggest that sample selection may be an issue for commercial real estate price indices around the globe and imply that indices based on a limited group of owners/sellers might be susceptible to further biases when tracking market performance through time.

The study differs from the existing literature on sale probability as the authors analyzed samples of transactions drawn from all investor types, a significant advantage over studies based on data restricted to samples of domestic institutional investors. As well, information on country of origin for buyers and sellers allows us to explore the influence of foreign ownership on the probability of sale. Finally, the authors not only analyze all transactions together, but the authors also look at transactions in five distinct periods that correspond with different phases of the UK commercial real estate cycle. This paper considers the UK real estate market, but it is likely that many of the findings hold for other major commercial real estate markets.

This study presents a structured investigation of the most important causes for delay in commercial real estate transactions. It assesses the potential of digital technologies such as “Blockchain”, “Property Passports” or “Automated Valuation Models” to make transactions faster and cheaper.

The authors conduct a focus group interview to identify the individual steps and the parties involved in real estate transactions. Subsequently, the authors discuss the prospects of digital technologies based on semi-structured interviews with real estate professionals and PropTech executives, and a comprehensive screening of technological solutions offered by PropTech firms.

The lack of an up-to-date, single pool of standardised property information turns out to be the most critical cause for delay in real estate transactions. However, the most promising technologies to mitigate this problem, in particular digital property passports summarising all relevant building information, face substantial barriers to adoption. The real estate industry has so far not been willing to more openly share data, which is a pre-requiste for the successful introduction of property passports. In addition, the principle of caveat emptor makes a lengthy due diligence process essential for buyers.

The authors conclude that industry-wide collaborations are necessary to help major efficiency gaining technologies to break through. Insurance products should accompany property data log books to guarantee the quality of data provided.

This study considers the potential impact of technologies in the wider context of the complete real estate transaction process. It identifies the major phases of that process and the associated bottlenecks. The authors gather evidence both from industry experts and PropTech executives and contrast their views regarding the potential of digital technologies to remove those bottlenecks.

Purpose – The purpose of this study is to get information on how the communication process transaction of commercial sex workers with customer occurs in province that practices Syariah law system.

Design/Methodology/Approach – A qualitative design using phenomenological approach with purposive sampling technique was utilized to obtain data. Subjects were female commercial sex workers with age around 16–45 years. The subjects were from district Banda Sakti and Muara Dua Lhokseumawe.

Findings – The result of study showed that subjects used interpersonal communication of self-disclosure through social media communication which was supported by verbal and non-verbal communication that gives an equal reaction. The type of communication used by commercial sex workers during the process of transactions were through face to face and media communication. However, it was found some barriers that interfere while doing interpersonal communication during the transaction, such as adjustment problem of subject, an error communication, and misperception between the subject and the customer that used their services.

Research Limitations/Implications – The study only focuses on how communication process of transaction occurs; therefore, it is important to do further research that focuses on how the Syariah law system impacts psychological attitudes toward commercial sex workers and how it will reduce the activity of commercial sex workers in Aceh, as well as how the communication occurs between parent and child that contribute them to become a commercial sex worker.

Practical Implications – Government should prevent commercial sex workers increase in Aceh as well as parents should more aware about their children’s activities outside home and be more communicative with their children.

Originality/Value – This paper gives information to the Aceh government to make further decision making and implement Syariah law system consistently and with commitment.

Property markets are considered efficient when the market price of a transacted property equates with its market worth. If this condition holds then identical properties should sell or let for the same price. However, properties are heterogeneous, and information and operational constraints exist. Consequently, events in the transaction process and factors like time on the market, buyer and seller psychology and agent behaviour influence property prices, whereas in a perfectly efficient market they would have no impact. This gives rise to similar units selling for different prices. This paper examines the relationships between commercial property prices and time on the market for property. Tests fail to find evidence of a direct relationship between time on the market and transacted rents, time on the market and asking rents, and asking rents with transacted rents. The reason for the insignificant results could be because landlords would rather offer potential tenants non‐price incentives such as rent‐free periods, rent break clauses, shorter leases or fitting‐out costs to achieve a faster let than discount the agreed contractual rent. A more detailed examination of the physical, location and market conditions that determine the expected time on the market for a property to let is undertaken. Results suggest that the state of the property market is an important influence on the time it takes to let a property, and concurs with the evidence found in housing studies. With the support of our empirical findings and evidence from the housing market, we conclude that including measures of non‐price incentives, landlords’ motivation, tenants’ characteristics, and search costs in our model may explain the relationship more fully.