Search results

Automated valuation models (AVMs) are statistical asset pricing models omnipresent in residential real estate markets, where they inform property tax assessment, mortgage underwriting and marketing. Use of these asset pricing models outside of residential real estate is rare. The purpose of the paper is to explore key characteristics of commercial office lease contracts and test an application in estimating office market rental prices using an AVM.

The authors apply a semi-log ordinary least squares hedonic regression approach to estimate either contract rent or the total costs of occupancy (TOC) (“grossed up” rent). Furthermore, the authors adopt a training/test split in the observed leasing data to evaluate the accuracy of using these pricing models for prediction. In the study, 80% of the samples are randomly selected to train the AVM and 20% was held back to test accuracy out of sample. A naive prediction model is used to establish accuracy prediction benchmarks for the AVM using the out-of-sample test data. To evaluate the performance of the AVM, the authors use a Monte Carlo simulation to run the selection process 100 times and calculate the test dataset's mean error (ME), mean absolute error (MAE), mean absolute percentage error (MAPE), median absolute percentage error (MdAPE), coefficient of dispersion (COD) and the training model's r-squared statistic (R²) for each run.

Using a sample of office lease transactions in Sydney CBD (Central Business District), Australia, the authors demonstrate accuracy statistics that are comparable to those used in residential valuation and outperform a naive model.

AVMs in an office leasing context have significant implications for practice. First, an AVM can act as an impartial arbiter in market rent review disputes. Second, the technology may enable frequent market rent reviews as a lease negotiation strategy that allows tenants and property owners to share market risk by limiting concerns over high costs and adversarial litigation that can emerge in a market rent review dispute.

Although management scholars have embraced grand challenges research, in many cases, grand challenges have been treated as merely a context for exploring extant theoretical perspectives. By comparison, our approach – robust action – provides a novel theoretical framework for tackling grand challenges. In this invited article, we revisit our 2015 model, clarifying and elaborating its key elements and taking stock of subsequent developments. We then identify three promising directions for future research: scaffolding, future imaginaries, and distributed actorhood. Ultimately, our core message is remarkably simple: robust action strategies – participatory architecture, multivocal inscription and distributed experimentation – jointly provide a means for tackling grand challenges that is well matched to their complexities, uncertainties, and evaluativities.

The purpose of this paper is to examine how microblog communication enabled a new form of hybrid net-roots third-sector organization that rely heavily on the internet to achieve multiple organizational successes in civil society, social movement and service providing in China, where the government holds predominating power over the third sector.

A qualitative inductive analysis was conducted to analyze two successful organizations’ Sina tweets sent from their Weibo debuts to the dates when they achieved their first milestone successes. In the analysis, the author iteratively alternated between emic data coding and etic reference to literature on social movement rhetoric and nonprofits’ microblog communication.

This study developed an indigenous communication framework featuring three key communication strategies: changing perceptions, mobilizing action, and building and maintaining relationships, each associated with specific tactics. These strategies and tactics allowed both organizations to tap into social media’s interactive features to engage publics and construct legitimacy.

This paper enriches social media-based communication research and classic social movement rhetoric, and further illustrates strategic communication’s active role in reacting to and reforming institutional contexts. Findings from study might be extended to address similar problems experienced by nonprofits across countries, especially within those that operate in a context where institutional separation from a predominant government is unavailable.

This original communication framework developed in this study crystalizes strategic microblog use by a nascent type of nonprofit when fulfilling functions reflects civil society, social movements and traditional nonprofit organizations in an understudied political and social context.

This paper refines the Digital Media–Arena (DMA) framework to address the diversity of stakeholders contributing to the production, (re)appropriation and (re)distribution of organisational messages in digital environments. It also presents a case analysis for the purpose of demonstrating the applicability of the revised conceptual framework to a critical situation.

Grounded in key public relations, corporate communication and strategic communication research, this study first extends the DMA framework by introducing six new forms of media-arenas. Next, the study takes a public sector perspective to analyse the revised framework against a critical situation involving the Finnish prime minister in summer 2022.

The application of the revised DMA framework to analyse the critical situation shows the importance of mapping and understanding diverse discourses across multi-arenas and their communication role in a rapidly unfolding scandal surrounding the prime minister of Finland. Findings also reveal the diversity of stakeholder voices forming their own versions of organisational messages and sometimes converging organisational messages within and across DMAs.

The DMA framework can offer practical suggestions to guide communicators to make strategic choices in what, where, how and with whom they can communicate.

The revised DMA framework contributes expanding the field's knowledge of the strategic communicative use of the digital environment in typically highly volatile and multi-vocal situations by offering instrumental understanding of the conflicting challenge between subjugating and liberating organisational messages across the digital spectrum.

This paper aims to explore the role of workplace democracy in generating psychological capital, which is an inevitable paradigm for the contemporary organizations. The study also provides a conceptual framework which connotes the nexus between the two constructs.

The study is qualitative in nature and uses content analysis to identify the determinants of workplace democracy and psychological capital. Furthermore, the study used SPSS macro, i.e. PROCESS, a computational tool for calculating inter-coder reliability by using KALPHA, i.e. Krippendorff’s alpha reliability estimate (Hayes, 2013; Krippendorff, 2011).

The present study adds to the literature by signaling the dire need for building democratic workplaces and offers significant insights for the management and human resource practitioners to cultivate workplace democracy to build their employees’ psychological strengths, which in turn will result in enhanced organizational outcomes.

The present study brings attention toward the necessity for a shift in the generic organizational strategies and instigate organizations to nurture a democratic setup for developing employees’ psychological capital.

The research sought to explore the role of public law libraries in advancing the net of persons who could access justice, using the law clinic in Nigeria as a gateway. It also examined how public law libraries could fit in drawing justice closer to the people using law clinics.

In achieving the research intentions, the researcher adopted mixed research approach. For the doctrinal method, the study embraced a desktop review of relevant literature on law clinic, access to justice and law libraries. For non-doctrinal method, the researcher brought to bare, his observation, experience and participation in clinical legal education, law clinic and law librarianship for a period of almost a decade. The literature and the experience of the researcher formed the basis on which the paper was developed.

The findings from this research reveal that access to justice is constrained by a number of factors that make it impossible for many Nigerians to access justice. The study further brings to the fore the role of law clinics in widening the gap of access to justice. In addition, the place of public law libraries in expanding the frontiers of access to justice is further underscored.

Not minding the potentials of public libraries in advancing access to justice world over, perusal of literature reveals that there is dearth of literature on the role of public law libraries in advancing access to justice through the instrumentality of law clinics in Nigeria. This research appears to be pioneering research in this regard.

Political skill has emerged as a concept of interest within the information systems literature to explain individual performance outcomes. The purpose of this paper is to adapt political skill to technology-mediated contexts. Specifically, the authors seek to understand political skill's role in shaping microtask workers' opportunity recognition when utilizing online communities in microtask work environments.

The authors tested their research model using a survey of 348 Amazon Mechanical Turk (MTurk) workers who participate in microtask-related online communities. MTurk is a large, popular microtasking platform used by thousands of microtask workers daily, with several online communities supporting microtask workers.

Technology-based political skill plays a critical role in shaping the resources microtasking workers rely upon from online communities, including opportunity recognition and knowledge sharing. The ability to develop opportunity recognition positively impacts a microtask worker's ability to leverage online communities for microtask worker performance. Tenure in the community acts as a moderator within the model.

The present study makes several contributions. First, the authors adapt political skill to an online community to account for how microtask workers understand a community's socio-technical environment. Second, the authors demonstrate the antecedent role of political skill for opportunity recognition and knowledge sharing. Third, the authors provide empirical validation of the link between online communities and microtask worker performance.

The purpose of this paper is to establish a new conceptual iterative framework for extracting knowledge from open government data (OGD). OGD is becoming a major source for knowledge and innovation to generate economic value, if properly used. However, currently there are no standards or frameworks for applying knowledge continuum tactics, techniques and procedures (TTPs) to improve elicit knowledge extraction from OGD in a consistent manner.

This paper is based on a comprehensive review of literature on both OGD and knowledge management (KM) frameworks. It provides insights into the extraction of knowledge from OGD by using a vast array of phased KM TTPs into the OGD lifecycle phases.

The paper proposes a knowledge iterative value network (KIVN) as a new conceptual model that applies the principles of KM on OGD. KIVN operates through applying KM TTPs to transfer and transform discrete data into valuable knowledge.

This model covers the most important knowledge elicitation steps; however, users who are interested in using KIVN phases may need to slightly customize it based on their environment and OGD policy and procedure.

After its validation, the model allows facilitating systemic manipulation of OGD for both data-consuming industries and data-producing governments to establish new business models and governance schemes to better make use of OGD.

This paper offers new perspectives on eliciting knowledge from OGD and discussing crucial, but overlooked area of the OGD arena, namely, knowledge extraction through KM principles.