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This paper aims to estimate a New Keynesian small open economy dynamic stochastic general equilibrium (DSGE) model for Egypt using Bayesian techniques and data for the period FY2004/2005:Q1-FY2015/2016:Q4 to assess monetary and fiscal policy interactions and their impact on economic stabilization. Outcomes of monetary and fiscal authority commitment to policy instruments, interest rate, government spending and taxes, are evaluated using Taylor-type and optimal simple rules.

The study extends the stylized micro-founded small open economy New Keynesian DSGE model, proposed by Lubik and Schorfheide (2007), by explicitly introducing fiscal policy behavior into the model (Fragetta and Kirsanova, 2010 and Çebi, 2011). The model is calibrated using quarterly data for Egypt on key macroeconomic variables during FY2004/2005:Q1-FY2015/2016:Q4; and Bayesian methods are used in estimation.

The results show that monetary and fiscal policy instruments in Egypt contribute to economic stability through their effects on inflation, output and debt stock. The monetary policy Taylor rule estimates reveal that the Central Bank of Egypt (CBE) attaches significant importance to anti-inflationary policy and (to a lesser extent) to output targeting but responds weakly to nominal exchange rate variations. CBE decisions are significantly influenced by interest rate smoothing. Egyptian fiscal policy has an important role in output and government debt stabilization. Additionally, the fiscal authority chooses pro-cyclical government spending and counter-cyclical tax policies for output stabilization. Again, past values of the fiscal instruments are influential in the evolution of the future fiscal policy-making process.

A few studies have examined the interaction between monetary and fiscal policy in Egypt within a unified framework. The presented paper integrates the monetary and fiscal policy analysis within a unified dynamic general equilibrium open economy rational expectations framework. Without such a framework, it would not be easy to jointly analyze monetary and fiscal transmission mechanisms for output, inflation and debt. Also, it would be neither possible to contrast the outcome of monetary and fiscal authorities commitment to a simple Taylor instrument rule vis-à-vis optimal policy outcomes nor to assess the behavior of monetary and fiscal agents in macroeconomic stability in context of an active/passive policy decisions framework.

In this paper, we try to extend the work of Kim and Chang (2000) and to estimate exponential-affine term structure models for Korean monetary stabilization bond (MSB) using trading data as an alternative of traditional curve-fitting methodology. We estimate both one factor CIR model and two factor CIR model. Using the daily trading data instead of quoted data of Korean monetary stabitization bond from February 10 1992 to September 8 2000, this paper estimates one factor successfully, which is consistent result with quoted data. But it seems that the result of two factor model from the trading data is not the same as that from the quoted data.

The authors argue that the mainstream scholarly discourse on hybridity and accounting is thus far primarily interested in the use and effects of accounting “in” hybrid organizations. Consequently, the literature has to a lesser extent explored how accounting mediates hybrid settings (while also being mediated), and the role of disentanglements in such processes. In hybrid settings, objects are difficult to define, and measures and tools difficult to agree upon. However, the literature on hybrid accounting is inconclusive and indicates that accounting can potentially both stabilize and de-stabilize relations in a hybrid setting. The authors address the research question of how accounting emerges and manifests itself in a process of entangling and disentangling in a heterogeneous emerging hybrid setting.

The paper is based on a longitudinal qualitative case study of the implementation of social investments, a public sector calculative framework based on the logic of measuring long term and social and economic impact of prevention. Methodologically, the study was guided by actor-network theory. In total, 18 observations and 48 interviews were conducted.

The observation the authors make in their case study is that much effort was spent on both keeping things apart and tying elements together. What the authors add to the literature is an illumination of how the interplay between entanglements and disentanglements facilitated the design idea of social investments to be enacted as multiple semi-integrated and purified hybridizations. The authors describe different translation points, each representing a specific hybridization where elements were added, recombined and disentangled. Still, the translation points were not completely compartmentalized, but rather semi-integrated where associations were facilitated through active mediation, likeness and productiveness for each other.

One limitation is the single case approach. A second limitation arises from the ANT approach to hybridity.

A practical implication of this paper is that in hybrid settings, the semi-integrated character may be interpreted as a strength because it allows the mobilization of heterogenous actors. However, this may also come at the cost of governability and raises further questions of managerial practices in hybrid settings.

The paper suggests the potentially productive role of disentanglements in allowing multiple hybridizations to evolve in hybrid accounting settings.

The paper suggests the potentially productive role of disentanglements in allowing multiple stabilized hybridizations to evolve in hybrid accounting settings.

This study interprets various theories of volume of stock markets in a unified DOint of view and classifies the theories into 4 categories: risk premium theory, adverse selection theory, privately informed trading theory, and market stabilization theory. Risk premium theory and adverse selection theory predict that net buying amount of an uninformed trader and future stock return have negative correlation and that ttle correlation approaches-I as current return volatility increases. Privately informed trading theory and market stabilization theory predict that net buying amount of an Informed trader and future stock return have posltive correlation and that the correlation approaches 1 as current return volatility increases.

Utilizing these two predictions. this study suggests a method of measuring informational advantage of a group of investors. To measure degrees of Informational advantage of some investor groups in Korean stock market. the method is applied to 7 groups of investors: foreign investors, individual investors. institutional investors, securities companies, Insurers. ITCs, and banks. The result shows that ITCs have the highest degree of informational advant~ age while Individual investors have the lowest level of informational advantage. The fact that this result is consistent with prior researches means that the method suggested in this study has enough empirical validity. This method may be used in a performance evaluation process for a specific fund or a portfolio manager.

This paper investigates the roles and activities of the orchestrators of innovation networks constituted within cities. In this sense, the authors expected to contribute for research related to the roles and activities of the orchestrators of innovation networks constituted in the scope of cities given the large number and diversity of complex and multiple dimensions social actors (Castells & Borja, 1996; Reypens, Lievens & Blazevic, 2019).

The authors conducted an exploratory research with a single case study in depth. The case chosen for the paper is the case of Pacto Alegre. The case selection criterion was the relevance of the Pacto Alegre Case in the construction of an innovation network in the city of Porto Alegre, Rio Grande do Sul, Brazil. The Pacto Alegre network was proposed by the Alliance for Innovation (composed of the three main Universities in the city: UFRGS, PUCRS and UNISINOS) and by the Municipality of Porto Alegre. In addition to these actors, the network counts on financial and development institutions as sponsors, with media partners, with design partners, with an advisory board (composed of five professionals considered references in different themes) and composed by more than 100 companies, associations and institutions from different areas (Pacto Alegre, 2019). Data were collected from 09/20/2020 to 11/30/2020 through in-depth interviews, documentary research and non-participant observation.

In this research, the authors highlighted the city as a community that involves and integrates various actors, such as citizens and companies, to collaborative innovation activities. For this, they proposed a framework on innovation networks and network orchestration. In this direction, seven dimensions of the “orchestration of innovation networks” were assumed as a result of the combination of previous studies by Dhanaraj and Parke (2006), Hurmelinna-Laukkanen et al. (2011) and da Silva and Bitencourt (2019). In the sequence, different roles of orchestrators associated with the literature were adopted based on the work by Pikkarainen et al. (2017) and Nielsen and Gausdal (2017).

The authors’ results advance in relation to other fields by promoting the expansion of the “orchestration of innovation networks” model with the combination of distinct elements from the literature in a coherent whole (agenda setting, mobilization, network stabilization, creation and transfer of knowledge, innovation appropriability, coordination and co-creation) and in the validation of its applicability in the context of the innovation network studied. In addition, when relating different roles of orchestrators to the seven dimensions studied, it was realized that there is no linear and objective relationship between the dimensions and roles of the orchestrator, as in each dimension there may be more than one role being played in the orchestration.

Therefore, the findings suggest two theoretical contributions. First, the authors identified a role not discussed in the literature, here called the communicator. In the case analysis, the authors observed the communicator role through functions performed by a media partner of the innovation network and by a group of civil society engaged in the city's causes. Second, the authors indicated a new dimension of orchestration related to the management of communication in the innovation network and its externalities such as p. ex. civil and organized society, characteristic of an innovation network set up within a city.

Although several studies have proposed advances in the understanding of the orchestration of innovation networks (Dhanaraj & Parkhe, 2006; Ritala, Armila & Blomqvist, 2009; Nambisan & Sawhney, 2011; Hurmelinna-Laukkanen et al., 2011), the discussion on the topic is still a black box (Nilsen & Gausdal, 2017). More specifically, the authors identified a gap in the literature about the role and activities of actors in the city level. Few studies connected the regional dimension with the roles and activities of the orchestrators (Hurmelinna-Laukkanen et al., 2011; Pikkarainen et al., 2017), raising several challenges and opportunities to be considered by academics and managers.

The purpose of this paper is to explore the role of inscriptions on social media in enabling action at a distance. The purpose is addressed by investigating how and by what mechanisms inscriptions on social media can shape action at a distance.

We conduct a qualitative analysis of the Facebook page of a crowdfunded grassroots initiative, where the founders and their stakeholders interact.

We identify two mechanisms by which inscriptions on social media can shape action at a distance: a flow of micro-level inscriptions and a joint stabilisation of inscriptions. By signalling achievement, creating a sense of closeness and highlighting powerful explanations, these mechanisms guide what action at a distance is taken and by whom. Action thereby becomes a mutual exercise between centres of calculation and distant peripheries, highly intertwined with the stability of inscriptions. The two mechanisms indicate the importance of the boundaryless nature of the inscriptions in shaping action at a distance.

Our findings indicate new forms of inscriptions and, consequently, of novel conditions for action at a distance. These insights add to the literature on Web 2.0 and accounting, which has mainly revolved around the relationship between centres of calculation and distant peripheries that act upon each other rather than around the inscriptions that enable such action.

This paper aims to investigate the process by which performative technologies (PTs), in this case accreditation work in a business school, take form and how humans engage in making up such practices. It studies how academics come to accept and even identify with the quantitative representations of themselves in a translation process.

The research involved a longitudinal, self-ethnographic case study that followed the accreditation process of one Nordic business school from 2015 to 2021.

The findings show how the PT pushed for different engagements in various phases of the translation process. Early in the translation process, the PT promoted engagement because of self-realization and the ability for academics to proactively influence the prospective competitive milieu. However, as academic qualities became fabricated into numbers, the PT was able to request compliance, but also to induce self-reflection and self-discipline by forcing academics to compare themselves to set qualities and measures.

The paper advances the field by linking five phases of the translation process, problematization, fabrication, materialization, commensuration and stabilization, to a discussion of why academics come to accept and identify with the quantitative representations of themselves. The results highlight that the materialization phase appears to be the critical point at which calculative practices become persuasive and start influencing academics’ thoughts and actions.

The purpose of this paper is to propose a model of the Islamic sovereign wealth funds (ISWFs) based on Islamic finance principles to modify the precarious image of SWFs from Muslim countries. The Shariah laws are the cardinal direction for this study.

The authors applied a qualitative research technique that consists of three approaches: exploratory case study approach to critically examine and rank the existing status of SWFs; descriptive analysis; and content analysis to present a model of ISWFs in comparison of conventional SWFs.

The authors propose a model of the “Islamic Sovereign Wealth Funds” based on four key pillars: the major Shariah principles; the Islamic corporate governance framework; the Islamic transparency and disclosure framework; and the Islamic corporate social responsibility framework. Furthermore, the authors argue that the potential effect of the ISWFs on Islamic finance and economy will be positive.

The model is an initial work and idea to convert SWFs from Muslim countries into ISWFs, which required an in-depth policy review by governments.

The findings of the paper are useful for policymakers and governments of the Muslim countries to overcome the issues and criticism on SWFs by converting them in ISWFs.

This paper contributes to the literature related to Islamic finance and sovereign wealth fund by presenting a first model of ISWFs for Muslim countries.

Though an accumulating body of study has analysed monetary policy transmission in India, there are few studies examining the differential impact of monetary policy action. Against this backdrop, this study aims to analyse the differential impact of monetary policy on aggregate demand, aggregate supply and their components along with the general price level in India.

The study develops a structural macroeconometric model, which is primarily aggregate and eclectic in nature. The generalized method of movements is used for estimation of behavioural equations, while a Gauss–Seidel algorithm is used for model simulation purposes.

The paper presents the results of two policy simulations from the estimated model that highlight the differential impact of monetary policy. The first one, hike in the policy rate by 5% and second is a reduction in bank credit to the commercial sector by 10%. The results from the first policy simulation experiment reveal that interest hike has a significant negative impact on aggregate demand, aggregate supply and general price level. However, the maximum impact is borne by investment demand and imports followed by private consumption. While as among the components of aggregate supply maximum impact is born by infrastructure output followed by the manufacturing and services sector with the agriculture sector found to be insensitive in nature. The results from the second policy simulation experiment revealed that pure monetary shocks have a significant negative impact on aggregate demand, aggregate supply and general price level. However, the maximum impact is born by private consumption and imports followed by investment demand. While as among components of aggregate supply maximum impact is borne by infrastructure followed by the manufacturing and services sector with the agriculture sector found to be insensitive in nature. From both policy simulation experiments, the study highlighted the relative importance of the income absorption approach as opposed to the expenditure switching effect.

The results obtained in this study provides a strong framework for design the monetary policy framework. The results are in a view of the differential impact of monetary policy action among the components of both aggregate demand and aggregate supply. This reflection of differential impact has immense significance for the macroeconomic stabilization as the central bank will have to weigh the varying repercussion of its actions on different sectors. For instance, the decline in output after monetary tightening might be conceived as mild from an overall perspective, but it can be appreciable for some sectors. This differential influence will have an implication for policy design to care for distributional aspects, which otherwise could be neglected/disregarded. Similarly, the output decline may be as a result of either consumption postponement or a temporary slowdown in investment. However, the one emanating due to investment decline will have lasting growth implications compared to a decline in consumer demand. In addition, the relative strength of expenditure changing or expenditure switching policies of trade balance stabilization may have varying consequences in the aftermath of monetary policy shock. Accordingly information on the relative sensitiveness/insensitiveness of different sectors/ components of aggregate demand towards monetary policy actions furnish valuable insights to monetary authorities in framing appropriate policy.

The work carried out in the present paper is motivated by the fact that although a number of studies have examined the monetary transmission mechanism in India, a very few studies examining the differential impact of monetary policy action. However, to the best of the knowledge, there is no such studies, which have examined the differential impact of monetary policy in the structural macro-econometric framework. The paper will enrich the existing literature by providing a detailed account of the differential impact of monetary policy among the components of both aggregate demand and aggregate supply in response to an interest rate hike, as well as a decrease in the money supply.

Diabetes is regarded as a global epidemic with 382 million people globally suffering from diabetes. It also has major implications on patients’ quality of life. There are also high cost of treatment associated with diabetes for both patient and healthcare provider. Telemonitoring represents an excellent technology opportunity to redefine health care delivery. Using technology for home-based care promises the ability to deliver more cost effective care whilst also enhancing quality of care and patient satisfaction. The paper aims to discuss these issues.

The current research aims to contribute to the methodological design of action research projects in their use to implementation health technologies such as telemonitoring. In particular, it seeks create a model which can be used to demonstrate the efficacy of the use of the action research method as a viable alternative to the traditional randomised control trials methodology currently employed in healthcare.

The paper contributes towards the methodological design to investigate the area of practice making use of the telemonitoring programme within a Victorian Health Services Network using action research.

It intends to address the research problem of the low utilisation of telemonitoring within Monash Health as a whole, and more specifically within the diabetes unit. In this context the research intends to utilise the benefits of telemonitoring to improve clinical outcomes of patients by increasing insulin stabilisation. It is also intended the research organisation benefits by increased efficiency by decreasing clinical workforce time spent on managing patient insulin data.