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The purpose of this paper is to propose a comprehensive theoretical framework to explain the different diffusion dynamics of a technology realized under an open source (OS) regime vs a technology realized under a closed-proprietary (CP) regime.

Following a systematic combining approach, theoretical predictions derived from literature on diffusion of innovation and on open innovation were matched with empirical observations derived from a case study of two mobile operation systems, which were released under different technological regimes.

This paper proposes a theoretical framework and a set of original theoretical propositions that can help to explain the differences in the diffusion dynamics of technologies that are released under different regimes (i.e. CP vs OS).

This paper provides managers a better understanding of the diffusion dynamics of technologies released according to an open innovation strategy. In addition, the empirical case study improves the understanding of an important industry (the MOS industry) that has not been fully investigated from the innovation diffusion perspective. Nevertheless, the efficacy and generalizability of the theoretical framework proposed in this paper require future empirical tests.

This paper makes an original contribution to the open innovation and innovation diffusion literature by linking, in a conceptual model, three antecedents of the diffusion of a new technology that previous literature has considered only separately: the regime under which the technology is released (OS vs CP), the contingencies related to the characteristics of the technology and to the network of its adopters, and the resulting barriers to adoption.

The purpose of this paper is to improve opening performance of bi-directional rotation gas face seals by investigating the hydrodynamic effect of non-closed elliptical grooves.

A model of non-closed elliptical groove bi-directional rotation gas face seal is developed. The distribution of lubricating film pressure is obtained by solving gas Reynolds equations with the finite difference method. The program iterates repeatedly until the convergence criterion on the opening force is satisfied, and the sealing performance is finally obtained.

Non-closed elliptical groove presents much stronger hydrodynamic effect than the closed groove because of drop of the gas resistance flowing into grooves. Besides, the non-closed elliptical groove presents significant hydrodynamic effect under bi-directional rotation conditions, and an increase of over 40 per cent is obtained for the opening force at seal pressure 4.5 MPa, as same level as the unidirectional spiral groove gas seal. In the case of bi-directional rotation, the value of the inclination angle is recommended to set as 90° presenting a structure symmetry so as to keep best opening performance for both positive and reverse rotation.

A model of non-closed elliptical groove bi-directional rotation gas face seal is established. The hydrodynamic mechanism of this gas seal is illustrated. Parametric investigation of inclination angle and integrity rate is presented for the non-closed elliptical groove bi-directional rotation gas face seal.

WeChat is the largest acquaintance social networking platform in China, in which users can view and reshare web pages shared by friends. This paper aims to analyze the spatio-temporal dynamics of web pages diffused in WeChat and advice on commercials.

A large number of web pages diffused in WeChat are collected and exclusively divided into four categories according to their titles, including advertisements, news bulletins, holiday greetings and emotional essays. For each web page, an information cascade (tree structure) is constructed to describe the diffusion trace. Based on the categories, the spatio-temporal popularity is characterized; the topological, temporal and spatial properties are examined; and the spatio-temporal diffusion velocity is explored.

Through comparative analysis, different categories of pages show diversity. For spatio-temporal popularity, there is no significant difference in cascade size; holiday greetings usually last for a relatively short time on average; emotional essays are more likely to spread to more provinces. For topological, temporal and spatial characteristics, the diffusion process of advertisements is more likely to be broadcasting than other categories; news bulletins and holiday greetings have an obvious bursty; the number of viewing behavior decreases from east to west in general. For spatio-temporal diffusion velocity, emotional essays diffuse the fastest in topological and spatio-temporal dimensions.

These findings contribute to promoting products and providing support for data driven modeling of information diffusion and human activity in spatio-temporal dimensions.

The purpose of this paper is to identify changes in bank lending criteria due to the global financial crisis (GFC) and to explore the associated impacts on new housing supply in Queensland, Australia.

This research involves a survey of each of Australia's big four banks, as well as two prominent arrangers of development finance. Data on key lending criteria were collected: pre GFC, during the GFC, and GFC recovery stage.

The GFC has resulted in a retraction of funds available for residential development. The few institutions lending are filtering out only the best credit risks by way of constrictive loan covenants including: low loan to value ratios, high cash equity requirements, regional “no go” zones, and demonstrated borrower track record. The ability of developers to proceed with new housing developments is being constrained by their inability to obtain sufficient finance.

This research uses survey data, together with an understanding of the project finance process to extrapolate impacts on the residential development industry across Queensland. No regional or sub‐market analysis is included. Future research will include subsequent surveys to track any loosening of credit policies over time and sub‐market sector analysis.

The inability to obtain project finance is identified as a key constraint to new housing supply. This research will inform policy makers and provide important quantitative evidence of the importance of availability of development finance in the housing supply chain.

There is very little academic research on development funding. This research is unique in linking bank lending criteria to new housing supply and demonstrating the impact on the development industry.

The purpose of this paper is to examine the impact of using information and communication technology (ICT) on retail property in Malaysia. It also examines what listed property companies perceive in terms of the implications of using ICT in the retail property sector in Malaysia.

Data were collected from sample surveys completed by 79 property companies listed on the Bursa Malaysia (formerly known as the Kuala Lumpur Stock Exchange). An ICT retail impact matrix was then developed to assess the significance of ICT on retail property in Malaysia.

The findings of the study revealed that ICT would have only a minor impact on retail property in Malaysia and that there would still be a need for the traditional means of conducting a retail property business. It also found that the listed property companies were ready to implement ICT applications and that the demand for retail property would still increase in Malaysia in the future.

Only 66 percent of listed property companies in Malaysia (the respondents) participated in the study.

This paper seeks to look at the impact ICT has on retail property in Malaysia. For this purpose, an ICT retail impact matrix was developed to assess this impact. As such, this study will be used as a benchmark for future ICT studies relating to retail property and the real estate sector in Malaysia.

While consumers did not previously have information on detailed housing features via traditional media, such as magazines, nowadays, due to the progress in information technology, they can access detailed information on various housing features via housing information websites. Therefore, detailed housing features may affect current rents to some extent. This paper aims to identify the effects of detailed housing features on rent and on omitted variable bias in Tokyo, Japan.

This paper applies the hedonic approach. To identify the effects of features which are not observed previously, we use a unique data set that contains various housing features and over 200,000 housing units. This data set enables to simulate the situations when the researcher cannot get some variables, and this simulation shows which variables cause omitted variable bias.

The analysis shows that housing features significantly influence housing rent. If significant housing feature variables are not included in the hedonic model, the estimated coefficients show omitted variable bias. Additionally, unit-specific features such auto-locking door can cause omitted variable bias on location-specific features such accessibility to downtown.

This paper shows empirical evidence that detailed housing features can cause omitted variable bias on other features including variables which are often used in previous searches. The result from our unique data set can be a guide for variable selection to reduce omitted variable bias.

As the world tries to come to terms with the exact economic and human cost of the Covid-19 pandemic, businesses are trying to discern and act on the implications of the “new normal” in order to survive and grow. Amongst all the industries impacted by the Covid-19 pandemic, travel and tourism has been the hardest hit. Operators across the value chain are trying to innovate and improvise in order to mitigate the impact of the pandemic on cash flows and working capital. The primary purpose of this paper then is to take a closer look at the measures adopted by the Indian hotel industry to restore revenues, conserve resources and attain greater operational and cost efficiencies in the midst of the Covid-19 crisis. The article also brings to the fore the growth-enhancing measures adopted by the industry in anticipation of a “new normal” in the post-Covid world.

This study is based on primary data collected via a survey, followed by a series of interviews with a select group of senior finance managers from a wide spectrum of hotels based in India.

Our findings suggest that Indian hotels have adopted several measures to enhance cash flows/revenues, reduce operating costs and cash outflows and conserve resources in order to tide themselves over during the crisis. Prominent cash flow–enhancing measures include price drops on special offers and reductions on list prices. Cost-cutting measures include economizing on energy consumption, reductions in labour costs and the postponement of maintenance expenses and discretionary spending. Resource conservation measures that have been adopted focus on postponement of capital expenditure and an increasing shift to localizing supply chains. Growth-enhancing measures adopted by the industry in anticipation of the long-term “new normal” include restructuring of the workforce and measures aimed at attracting domestic tourists and increasing product diversity.

This study attempts to understand the short-term and long-term financial management strategies adopted by Indian hotels in the face of unprecedented disruption caused by the Covid-19 pandemic. To the best of our knowledge, this paper is the first of its kind in the Indian context.

A perusal of extant literature suggests asymmetric devotions in empirical research that overlooks unique social and industrial dynamics of married working women in highly competitive male-dominated industries. Drawing on the social role theory, the study addressed this asymmetry by proposing a multivariate regression model that examined performance drivers of married female real estate brokers, as mediated by organizational, cognitive and social influences.

The study employed a descriptive design. A structured electronic questionnaire was used to collect data from a sample of 256 married female brokers who are active on online messaging platforms. Snowball sampling was used to reach the research participants. Collected data were subjected to multivariate regression analysis.

The results infer that social influences were the most significant drivers of married female brokers in the real estate industry (r = 0.932, p < 0.05, F = 556.581). Significant interventions of diversity management, work-life balance, family support and access to economic opportunities were found.

In acknowledging the societal stereotype and culturally imposed burdens married women face in emerging economies, the study advanced theoretical, practical and policy initiatives for a more inclusive, supportive and learning-oriented work environment.

The novelty of the paper lies in its exposition of the unregulated real estate brokerage market in an emerging economy and the dynamic organizational, cognitive and societal influences of married female brokers.

This paper aims to evaluate the influence of the parameters of the Fused Filament Fabrication (FFF) process on the mechanical properties and on the mass of parts printed in Polylactic Acid (PLA). In addition, the authors developed predictive models for the analysed responses.

A full Factorial type of experimental planning method was used to define the conditions for manufacturing parts according to the variation of the construction parameters, extrusion temperature and print speed. Samples were printed for tensile, flexion and compression tests. Their mass was measured. Multiple regression methods, based on power equations, were used to build the forecasting models.

It was found that the extrusion temperature was the parameter of greatest influence in the variation of the analysed responses, mainly because it generates behaviour patterns and indirectly demonstrates thermal/rheological characteristics of the material used. Print speed affects responses, however, with variations dependent on part geometry and printer hardware/software. It was possible to establish prediction models with low error rates in relation to the experimental values.

The study demonstrates a good relation between the use of a structured experimental planning method as the basis for the development of predictive models based on mathematical equations, the same structure of which can be used to describe different responses.

The design process of a bio-model involves multiple factors including data acquisition technique, material requirement, resolution of the printing technique, cost-effectiveness of the printing process and end-use requirements. This paper aims to compare and highlight the effects of these design factors on the printing outcome of bio-models.

Different data sources including engineering drawing, computed tomography (CT), and optical coherence tomography (OCT) were converted to a printable data format. Three different bio-models, namely, an ophthalmic model, a retina model and a distal tibia model, were printed using two different techniques, namely, PolyJet and fused deposition modelling. The process flow and 3D printed models were analysed.

The data acquisition and 3D printing process affect the overall printing resolution. The design process flows using different data sources were established and the bio-models were printed successfully.

Data acquisition techniques contained inherent noise data and resulted in inaccuracies during data conversion.

This work showed that the data acquisition and conversion technique had a significant effect on the quality of the bio-model blueprint and subsequently the printing outcome. In addition, important design factors of bio-models were highlighted such as material requirement and the cost-effectiveness of the printing technique. This paper provides a systematic discussion for future development of an engineering design process in three-dimensional (3D) printed bio-models.