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The purpose of this paper is to discuss how the rush of technological change will consolidate the worldwide reach of the internet with more capacity, specifically to control the physical world, including the machines, industrial facilities and frameworks that characterize cutting-edge technology.

The data were collected from 203 respondents predominantly from emerging economies, specifically India and SEA. Most of the participants are working professionals. Structural equation modelling was used to analyze data, as it is a popular statistical technique because of its ability to model selected independent variables and take into account all possible forms of measurement error to test an entire theory.

The Industrial Internet of Things (IIOT) platform comprises four fundamental capabilities: connectivity, big data, advanced analytics and application development. The IIOT has the potential to provide a high level of synergies between the 4 Ms of manufacturing, namely, man, machine, material and method.

The collected data are predominately from India and SEA (close to 75 per cent), while contributions from other regions are comparatively less, so the findings cannot be generalized to the global context.

It is in the interest of service providers to collaborate and provide a universal solution to retain legacy systems to minimize the investment and reduce the security threat, which could boost IIOT adoption while ensuring that manufacturers are able to leverage this new technology efficiently.

The framework obtained has good quality of validity and reliability indicators. Thus, an alternative framework has been added to customer expectation which is currently a popular topic in the technological changes.

Claims the greatest challenge facing the accounting profession is understanding the huge difference between its balance sheet and market valuation. This gap represents the core value of the company – its intellectual capital represented by brands, products, competitive advantage, patents, trade marks, customer relationships, R&D, human capital etc. The present financial accounting framework is criticised, especially in the USA and Europe, as inadequate and failing to communicate the most important assets and resources of today’s business, known as intangible assets or intellectual capital. As a result, there is a huge value gap and distortions between a business entity value as reported in the financial statements with the value put by investors on the stock market or even in merger and acquisitions cases. In the new knowledge economy (k‐economy), knowledge rather than physical assets drives innovations, revenue and profits growth, and nurtures new competitive advantages. Looks at the challenges encountered by accounting and where it is heading in the k‐economy environment.

In recent years there has been increasing focus on the importance of intellectual capital disclosure. The major resources of the football industry are human ‐ the players (as well as coaches and management) and supporters, yet the traditional accounting framework is largely ineffective in capturing these ‘hidden’ values. This paper reviews research on the quality and extent to which 19 listed professional English football clubs are reporting intellectual capital in their annual reports for the 2002 period. A disclosure index was developed and applied, giving scores for categories of disclosure and for the football clubs. The research findings suggest that components of intellectual capital were poorly reported by listed professional football clubs. External capital reporting was the highest scoring category, followed by human capital. However internal capital reporting scored the lowest. The research findings indicated a positive significant correlation between the size of clubs, club performance and their overall intellectual capital disclosure, in line with previous research in different industries. In conclusion, the importance of intellectual capital is recognized in the football industry as evidenced by the quality and quantity of IC disclosure by some clubs. However, the variability in reporting of different components of intellectual capital suggests that there is considerable room for improvement if the key resources of the football industry are to be truly reflected in the accounting system.

With the development of computerization and networking capabilities, there is a significantly enhanced opportunity for sharing information and knowledge world‐wide. For an organization to survive in these turbulent times, there is a great need for its continuous renewal through the introduction of new, innovative products and processes that are based on new knowledge. As a result, the management and measurement of intellectual capital have attracted a lot of attention in recent years both in the media and from academia. This paper assesses different methodologies of intellectual capital measurements, both from a macro valuation standpoint and from the operating perspective. Valuation metrics are suggested and it demonstrates how it is applied to a cross‐section of firms. The paper also shows that there is no conceptual framework commonly accepted and there is a considerable lack of consistency both inter‐country and intra‐country. This paper has taken three firms from distinct industries and has applied human, relational or structural capital metrics depending on which is the most relevant.

The issue of goodwill has been debated in many countries throughout the world. Despite numerous efforts and the existence of accounting standards and exposure drafts issued by various professional bodies internationally, there is yet to be a universally accepted accounting treatment for goodwill. The opinion on this subject differs and changes frequently. The dichotomy of having to preserve prescribed recognition criteria on the one hand and the need to report useful information on the other has led to the many controversial issues debated on the subject of goodwill. This study centres around the international accounting treatment of goodwill in the past, present and future. This study reviewed some of the issues that surrounded the accounting for goodwill where it was found that goodwill accounting had faced many problems. Besides problems, this project also looks into the prospect of the accounting for goodwill in the cyberspace era and emergence of the knowledge‐based economy. This study confirms that controversy remains internationally with no solution in sight in the foreseeable future internationally.

The main purpose of this study is to investigate the natural convection of micropolar fluid in a square cavity with two orthogonal heaters placed inside. The study of natural convection in a two-dimensional enclosure determines the effect of non-uniform heated plate on certain micropolar fluid flows which are found in many engineering applications. Therefore, because of its practical interest in the engineering fields such as building design, cooling of electronic components, melting and solidification process, solar energy systems, solar collectors, liquid crystals, animal blood, colloidal fluids and polymeric fluids, the topic needs to be further explored.

The dimensionless governing equations have been solved by finite volume method of the second-order central difference and upwind scheme.

The effects of the Rayleigh number, nonuniformity parameter and vortex viscosity parameter on fluid flow and heat transfer have been analyzed. The rate of heat transfer increases with an increase in the aspect ratio of the heated plates for all the values of Rayleigh number and vortex viscosity parameter. The heat transfer rate is reduced with an increase in the vortex viscosity parameter. It is predicted that the non-uniform of the baffle gives better heat transfer than uniform heating.

The present numerical results were tested against the experimental work. The present results have an excellent agreement with the results obtained by the previous experimental work.

Since the handling of environmentally sensitive products requires close monitoring under prescribed conditions throughout the supply chain, it is essential to manage specific supply chain risks, i.e. maintaining good environmental conditions, and ensuring occupational safety in the cold environment. The purpose of this paper is to propose an Internet of Things (IoT)-based risk monitoring system (IoTRMS) for controlling product quality and occupational safety risks in cold chains. Real-time product monitoring and risk assessment in personal occupational safety can be then effectively established throughout the entire cold chain.

In the design of IoTRMS, there are three major components for risk monitoring in cold chains, namely: wireless sensor network; cloud database services; and fuzzy logic approach. The wireless sensor network is deployed to collect ambient environmental conditions automatically, and the collected information is then managed and applied to a product quality degradation model in the cloud database. The fuzzy logic approach is applied in evaluating the cold-associated occupational safety risk of the different cold chain parties considering specific personal health status. To examine the performance of the proposed system, a cold chain service provider is selected for conducting a comparative analysis before and after applying the IoTRMS.

The real-time environmental monitoring ensures that the products handled within the desired conditions, namely temperature, humidity and lighting intensity so that any violation of the handling requirements is visible among all cold chain parties. In addition, for cold warehouses and rooms in different cold chain facilities, the personal occupational safety risk assessment is established by considering the surrounding environment and the operators’ personal health status. The frequency of occupational safety risks occurring, including cold-related accidents and injuries, can be greatly reduced. In addition, worker satisfaction and operational efficiency are improved. Therefore, it provides a solid foundation for assessing and identifying product quality and occupational safety risks in cold chain activities.

The cold chain is developed for managing environmentally sensitive products in the right conditions. Most studies found that the risks in cold chain are related to the fluctuation of environmental conditions, resulting in poor product quality and negative influences on consumer health. In addition, there is a lack of occupational safety risk consideration for those who work in cold environments. Therefore, this paper proposes IoTRMS to contribute the area of risk monitoring by means of the IoT application and artificial intelligence techniques. The risk assessment and identification can be effectively established, resulting in secure product quality and appropriate occupational safety management.

The purpose of this study is to examine and answer the following research questions: how does the US electronic industry perform from an intellectual capital (IC) perspective? What is the relationship between IC and company market value in the US electronic industry? This study investigated the relationship between IC and company market value in the US Standard & Poor's 500 (US S&P 500) publicly traded electronic companies from 1996 to 2005.

The Ohlson model theory was reviewed and to form the research models. Secondary data were retrieved from S&P's Compustat for quantitative analysis.

When applying multiple regression technique to the research hypotheses, there emerges a positive relationship between IC and market value of the company. Apparently, US electronic companies are knowledge intensive and utilize IC to create their market capitalization.

This is one of the first empirical researches that quantitatively examine the market value of US S&P's 500 electronic companies from IC perspective in the long‐term.

The purpose of this paper is to present asset recognition criteria based on the idea that an asset should be functional, separable and measurable and that financial recognition should be triggered by the recognition of an artefact.

Criteria is applied to four organisational assets, that is, those intangible assets that are unlikely to be reported in the accounting domain.

The criteria is applied in order to show how one may expand the basis on which assets can be reported financially to elements of intellectual capital as well as financial capital.

Artefact‐based asset recognition criteria could be a conduit through which intellectual capital could enter the accounting domain, a domain dominated by the maintenance of financial capital, not intellectual capital.

The purpose of this paper is to propose an extended and modified value-added (VA) intellectual coefficient (VAIC) model, which includes intellectual capital (IC) components which were missing in the original VAIC approach. The proposed model has been used to explore the relationship between IC and firm performance for Turkish manufacturing firms on a more detailed level.

Multiple regression analysis has been employed to identify the IC components, which predict the performance of the firm and the moderating effect of some IC components on IC components–firm performance relationship. Data are required to calculate the IC components, and firm performance variables have been obtained from the financial reports of the Turkish manufacturing firms for the period 2003–2013.

According to the results for Turkish manufacturing sector innovation capital efficiency has a moderating effect on the relationship between structural capital efficiency (SCE) and profitability, meaning, depending on an increase in R&D expenses, the effect of SCE on profitability also increases. On the other hand, it has been found that innovation capital efficiency has a direct impact on firms’ productivity. The results also showed that IC efficiency components have a moderating role on the relationship between capital employed efficiency and profitability.

There might be a time lag until the effect of R&D investments can be observed in firms’ performance. However, this lagged impact of innovation capital and also other IC components on future firm performance has not been investigated due to concerns related to sample size.

The proposed model differs from the original VAIC model in three ways: it, namely, includes two additional IC components, customer capital (CC) and innovation capital. It explores the moderating effect of innovation capital on structural capital–firm performance relationship and the moderating effect of IC components on employed capital–firm performance relationship. As the last difference, it proposes an alteration in the VA calculation due to newly added IC components, CC and innovation capital.