Information and communication technology in the real estate industry: productivity,industry structure and market efficiency

This survey of changes in the real estate industry due to information and communication technology (ICT) covers three areas: (a) A brief survey of ICT applications in the property industry, (b) speculation about implications for market structure and productivity within the real estate industry, and (c) comments on the wider macroeconomic implications of these changes. Improvements in information and productivity may lead to important long-run changes in business processes and industry structure tending to favour larger firms and promoting specialization of functions. Changing the information structure of real estate decision systems could change system dynamics and improve allocative efficiency. On the other hand, under different institutional arrangements, better information could increase the amplitude of real estate cycles and destabilize economies.     

ICT capital and labour productivity growth: A non-parametric analysis of 14 OECD countries

This paper uses a new set of country data for 14 countries, members of the OECD, and a non-parametric approach to provide new evidence on the impact of Information and Communication Technology (ICT) on labour productivity growth between 1995 and 2005. For the first time, in the present paper a bootstrap approach for the decomposition of labour productivity change, proposed by Kumar and Russell (2002), is employed. This approach permits to conduct statistical inference on the parameters of interest, and to analyse the effects of ICT technologies on capital accumulation. The results confirm the role of ICT as a general purpose technology that needs organisational and business process changes to fully exploit its growth opportunities. The paper also finds out, by applying a non-parametric test, that ICT technologies positively contribute to the generation of convergence clubs in the evolution of labour productivity. Finally, the empirical evidence offers some basic guidance for future policy intervention in supporting ICT capital investments.     

Measuring efficiency and ICT ecosystem impact: Hardware vs. software industry

The ICT industry is reshaping itself through convergence and coopetition across the ecosystem. In particular, many ICT companies have been trying to achieve both hardware and software capabilities to accelerate innovation. To understand the changes in the ICT industry, we empirically study the hardware and software industries using the ecosystem framework. We estimate the efficiency levels of the hardware and software industries in China, Japan, South Korea, and the United States (US) using stochastic frontier analysis and meta frontier analysis, and we examine the effects of the ICT ecosystem structure on efficiency levels using a Tobit regression. We find that the US, which is the global ICT leader, performs significantly better than other countries, with the biggest technology gap ratios in both hardware and software, and South Korea, which has the most hardware-centric industrial structure among the four countries, has the biggest efficiency gap between the hardware and software industries. Tobit results further reveal that a well-balanced ecosystem is important in achieving high efficiency in both hardware and software, and the effect is much higher in the software industry than in the hardware industry.     

数字经济背景下ICT货物贸易的影响因素分析——以"一带一路"沿线国家(地区)为例

本文在阐述“一带一路”沿线国家(地区)ICT(信息通信技术)货物贸易现状的基础上,利用2007~2019年贸易流量数据与空间杜宾模型,实证分析贸易格局与国家产业基础、资源禀赋、营商环境等因素的关系。研究发现:(1)“一带一路”沿线国家(地区)ICT货物贸易呈现出两边高-中间低的空间格局,产业基础是主要影响因素,并存在正向的空间溢出效应;(2)改善本国营商环境、提高城市化水平、扩大经济体量是每个沿线国家(地区)改变其ICT贸易格局的有利举措。同时需要注意对外直接投资、汇率及关税的调节作用,重视经济合作组织的影响;(3)我国应充分发挥贸易的直接和间接效应,积极拓展ICT产业新型基础设施建设,满足人们日益增长的带宽需要及通信需求。     

Digital assemblages: evidence and theorising from the computerisation of the US residential real estate industry

We develop the concept of digital assemblages in order to advance current theorising on the ways in which information and communication technologies (ICTs) are helping to reshape work. The empirical setting is the US residential real estate industry—a ‘living laboratory’ for studying information‐intensive work and the adoption and uses of ICT. We find that real estate agents' uses of ICT are pervasive and suggest that agents now embed themselves more deeply into the transacting of real estate by actively supporting buyers and sellers, rather than acting primarily as information intermediaries. Building from this, we theorise that this ICT use can more coherently be understood as a ‘digital assemblage’ rather than a formal information system. Digital assemblages are characterised as distinct patterns of ICT collections that, in use, are functionally equivalent and structurally similar, relying on standardised and commodified ICT and are neither formally designed nor collectively governed.     

Broadband business by utilities infrastructure exploitation: A multistage competition model

A promising broadband business opportunity is the exploitation of the physical resources owned by municipalities and utility-based firms. In this study, the new broadband business opportunities owned by these authorities are analyzed through the development of a decision analysis model. The proposed model analyzes the broadband business into stages, integrates real options and game theory and provides business equilibrium in terms of the time of entry in the market, quantity offer and price definition. Finally, a real world case study is discussed showing how the model can be applied.     

Blockchain as a cutting-edge technology impacting business: A systematic literature review perspective

As one of the most disruptive technological innovations, blockchain technology has received extensive attention from academia and industry. Although many scholars have reviewed the existing blockchain research, most of the previous review articles focused on the application of technology or blockchain in specific industries or scenarios, and lacked a comprehensive review of the application of blockchain technology in the business field. Based on a systematic literature review approach and cluster analysis, this study quantitatively analyzed 2830 papers obtained from the Web of Science to fill this gap. By constructing a three-layer research framework, this research enumerates the infrastructure and protocols of blockchain technology in detail, and on this basis develops a three-subjects value creation model. The model highlights that business value can be created from transactions, crypto-economic models, and analytical and automated processes in the interaction of organizations, individuals, and technologies. Different blockchain-based applications solve different kinds of economic problems, including information storage/sharing, consensus generation and governance. This study expands the blockchain literature and deepens our understanding of how blockchain technology affects organizations and individuals in the business world. The newly proposed research framework can inspire practitioners and managers to discover opportunities for business model innovation. This work provides a solid research foundation and practical guidance for academics and practitioners who are interested in blockchain-based business.     

ICT investment and GDP growth: Causality analysis for the case of Korea

This study investigated how investment in the industry of Information, Communication and Technology (ICT) has been interlocked with the GDP growth of South Korea. Based on seasonally-adjusted quarterly time-series data for the period between 1999 and 2016 available from the Korea Statistical Information Service, a Vector Error Correction model was applied for the analysis. The results revealed that ICT investment and GDP growth affected bi-directionally except for the short-run case in which only ICT investment affected GDP growth. The results explain that ICT investment plays an important role in the economic growth of South Korea in the long term; at the same time, investment size in the ICT industry increases as the economy grows. Without controlling any other factors, we found GDP increases by 0.4% when ICT investment increases by 1%. However, in the short term, only ICT leads to GDP growth. Therefore, the recent stagnation in ICT investment experienced in South Korea could negatively affect the economic growth of Korea in the short run, and hence, in the long-run, if it should become prolonged. The ICT investment strategy revealed from this study is especially useful to policy-makers who plan the economic growth in South Korea and other ICT-advanced countries because promoting ICT utilization across all sectors requires putting legal and policy mechanisms in place.     

Web-hosting market development status and its value as an indicator of a country's e-readiness

A country's e-readiness is essentially a measure of its business environment, a collection of factors that indicate how amenable a market is to Internet-based opportunities. An e-readiness assessment is based on several quantitative criteria, and among them the ICT market development indicators are considered as the most influential. Studies in the past have shown that the well-known indicators used for assessing the level of ICT market development in countries with emerging economy are not directly applicable. This paper provides another insight into the level of ICT market development in an emerging economy by analysing the adoption of web-hosting services in the country's business sector. The potential of such assessment to be as an indicator of the level of ICT development in a country is analysed. The underlying study of the web-hosting development was carried out as part of the European project WEBHOSTS. The approach applied and the findings were intended to be used as a decision support in locating and managing some of the risks in e-business development and potential investment by new entrants in a region that is accessing the developed part of Europe.     

Cognitive computing,Big Data Analytics and data driven industrial marketing

The integration of cognitive computing and big data analytics leads to a new paradigm that enables the application of the most sophisticated advances in information and communication technology (ICT) in business, including industry, business to business, and related decision-making process. The same paradigm will lead to several breakthroughs in the subfield of industrial marketing: a field both promising and extremely challenging. This special issue makes a case that cognitive computing and big data are a source of a new competitive advantage that, if properly embraced, will further consolidate industrial marketing management position in the of core the decision-making process of businesses operating locally and globally. In this vein, the value added of this special issue is twofold. On the one hand, this special issue communicates high quality research on big data analytics and data science as it is applied in industrial marketing management; On the other hand, it proposes a multidisciplinary approach to the study of the design, implementation and provision of sophisticated applications and systems necessary for data-driven industrial marketing decisions.     

Project valuation in the pharmaceutical industry: a comparison of least‐squares Monte Carlo real option valuation and conventional approaches

Least‐squares Monte Carlo simulation (LSM) is a promising new technique for valuing real options that has received little or no attention in the pharmaceutical industry. This study demonstrates that LSM can handle complex valuation situations with multiple uncertainties and compounded American‐type options. The limited application of real option valuation (ROV) in the pharmaceutical industry is remarkable, given the importance of accurate project valuation in an industry that requires large investments in high‐risk projects with long pay‐back periods, which is furthermore suffering from ever‐increasing development costs and shrinking profit margins. The LSM model developed in this study is constructed as an extension of a discounted cash flow model that should be familiar to economists active in the pharmaceutical industry. A number of pharmaceutical projects have been evaluated using LSM ROV, binominal real option valuation and expected net present value techniques. The different results yielded by these methods are explained in terms of differences in risking assumptions and ability to capture the value of flexibility. The analysis provides a framework to introduce the basic concepts of real option pricing to a non‐specialist audience. The LSM model illustrates the potential for real‐life commercial assessment as the versatility of the technique allows for an easy customisation to specific business problems.     

Network process analysis: An event-based approach to study business network dynamics

To develop business, managers need to understand the dynamic nature of the business networks in which their company operates. Qualitative process research offers a promising methodology to deliver that understanding but does not yet provide elaborate analysis methods applicable to business network research. We therefore introduce an event based analysis strategy developed to study processes in business networks. Employing a longitudinal case on a paper trader's internationalization process in a network context as an experimental arena, we propose three tools for process analysis. First, a research steering wheel that combines both retrospective and real time event analysis; second, an analytical scheme comprising influencing factors, critical events and consequent change; and third, an event trajectory that unfolds process patterns. The proposed strategy offers a viable alternative to social network analysis, network pictures and narrative analysis with which to study network change and dynamics. Elaborating events from a moderate constructivist perspective, it enables the researcher to trace and understand processes beyond mere structural change, and to capture their evolution in a multilayered network context. We evaluate the strengths and weaknesses of the methodology and discuss its relevance for research and practice.     

How to build a strategic network: A practitioner-oriented process model for the ICT sector

One critical success factor for the future will be the ability to build and develop strategic networks. This ability is especially vital in the dynamic information and communication technology (ICT) sector, where the development of competitive offerings often requires a coalition of platform and service providers. However, the academic literature has yet to propose a systematic managerial tool for the strategic network building process. Our distinctive contribution is the development of a practitioner-oriented process model for building a strategic network, which is linked to the resource-based view and the value creation system approach. Moreover, we suggest that instead of being a sequential stage-wise process, the construction of a strategic network can be divided into parallel, although not necessarily simultaneous, sub-processes based on the required value activities in the entire business concept. The resulting network-building model is used to provide managerial suggestions for the efficient construction of strategic business networks.     

Dynamic pricing models for ERP systems under network externality

Enterprise Resource Planning (ERP) systems vendors face great challenges to enhance their market position and maximize their profits. Being able to simultaneously predict the diffusion of an ERP and to determine the right price to charge to a customer is a complex task. Earlier work has demonstrated evidence of network effect in the diffusion of ERP software in industries. In light of this evidence, we investigate in this paper the benefit of a dynamic pricing strategy for ERP systems vendors in a business network governed by a quantitative diffusion model. Based on a real scenario in the automotive industry, those quantitative models are integrated into a simulation-based optimization approach to tackle the problem. Our findings are promising and establish the foundation of a powerful decision support tool for ERP systems vendors.     

The Simple Meaning of Complex Rates of Return

Real options analysis (ROA) has been identified in the literature as a quantitative means to evaluate the flexibility inherent in the decision-making process. From an engineering economics perspective, this paper highlights applications, real-world users, modeling approaches, ROA assumptions, and future research directions. Through identifying and systematizing the current literature, a concise summary of modeling concerns and a road map for future modeling efforts and applications is discussed. More specifically, this paper supports research efforts to combine decision analysis tools with financial option pricing techniques to develop a real option framework that will be accepted in industry to make decisions in today's fast-paced and highly competitive business environment.     

The modelling of business profitability: A new approach

Various methods are in use for the ‘top down’ assessment and comparison of the future profitabilities of businesses. The most advanced is the PAR equation of the PIMS programme, which combines quantitative evaluations of the average effect of various business characteristics on profitability. However it is not a true model in the OR sense being essentially a linear regression equation. The proposed new approach is a first attempt to combine the characteristics in a way which models the bargaining of customers with suppliers who are in competition for the supply of a bulk product. All the constants in the resulting non-linear equation (called 5C) are meaningful in marketing or production terms. The model is in a preliminary non-optimized state, but seems to offer opportunities for ongoing development. It is in this spirit that it is offered for discussion.     

Assessment of information and communications technology maturity level

The use of information and communications technology (ICT) turned out to be a key factor in the process of the wider development of a country. It is therefore very useful to estimate ICT evolution by the means of an appropriate metric. Based on statistical data from 159 countries, the ICT maturity level index (IMLI) is proposed and estimated by using structural equation modelling (SEM). This index is a metric measuring the information society in a country and consists of three sub-indices which are access, use and skills. It is an improvement of the ICT development index, proposed by the ITU in 2009. The analysis divides the countries into two groups, the developed and the developing, due to major disparities in their statistical data. The criterion used to define the groups was the income, as expressed by the Gross National Income per capita. The impact of a number of influential parameters on the ICT maturity level is evaluated and it becomes obvious that there is a substantial difference in their impact between developed and developing countries. Finally, a procedure that allows the ranking of the countries, based on IMLI, is presented.     

Measuring convergence of China's ICT industry: An input-output analysis

The convergence of the information and communication technology (ICT) industry is ubiquitous phenomena, which can be classified from the supply/demand side or complementary/substitute relation. According to the classification, the paper measures the convergence of China's ICT sectors based on its 2002 input-output (IO) table, including five manufacturing sectors and two service sectors. Then, using IO table cross-entropy updating technique, the paper investigates the convergence evolution of four ICT manufacturing sectors from 1997 to 2002. The research finds the following conclusions. In 2002, the supply side convergence of manufacturing sectors was higher than that of service sectors, while service sectors featured a higher degree of the demand side convergence. The year of 2002 witnessed high complementary convergence between some China's ICT manufacturing and service sectors. During the period from 1997 to 2002, the supply side convergence dominated the convergence of China's ICT industry, while the demand-side convergence experienced little structural change.     

How information and communication technology drives (routine and non-routine) jobs: Structural path and decomposition analysis for China

A comprehensive exploration into the routine/non-routine job implications of information and communication technology (ICT) is crucial for tackling routine-replacing technological change challenges in the digital era. To this end, we propose an integrated input-output (IO) analytical framework to detangle the intertwined relations between ICT and non-ICT sectors, and further incorporate structural path analysis (SPA) and structural decomposition analysis (SDA) to examine the extent to which and how ICT sub-sectors drive the formations and changes of embodied routine/non-routine jobs in ICT. An empirical study using China's national IO tables from World Input-Output Database and the matched occupational employment data derived from 2000 and 2010 Population Census is conducted. We find that China's ICT growth over 2000–2010 has not led to a decline in jobs, which still holds true for both ICT manufacturing and ICT service, as well as for routine/non-routine jobs. We also find an increase in the embodied employment share of non-routine relative to routine jobs. The typical paths “source sector → (intermediate sector) → ICT final demand” generate many routine/non-routine jobs, which are primarily lied in the zero and first rounds. The decomposition results show that the declining sectoral routine/non-routine job coefficients drives the decline of both ICT embodied routine and non-routine jobs (especially the former), which is completely offset by the rising final demand of ICT. The proposed integrated IO analytical framework could also be applied to other indicators and extended to multi-country/region analysis.     

The relationship between technology adoption and strategy in business-to-business markets : The case of e-commerce

Firms have been traditionally advised to adopt information and communication technologies (ICT) to support the achievement of existing business objectives. However, entry into business-to-business e-commerce may require the concurrent adoption of new business strategies. This paper argues, therefore, that ICT analysis needs to be considered at the same time and at the same strategic level, as internal, competitor and market analysis. This is because the source of the competitive advantage brought by ICT has changed, to be largely obtained through increase in customers' perceived value. The literature presents a confused picture of the likely consequences to a firm of its adoption of e-commerce. This paper concludes that any such adoption must be evaluated in the environment of the individual firm. A multidimensional analytical framework, taking a combined informational and marketing perspective, is presented to assist with such evaluations.