Search results

Recognizing the difficulty inherent in studying organizational change stimulated by the external environment, this paper seeks to present a four‐phase model useful for collecting information and for analyzing the impact of organization‐environment dynamics.

In the context of a case study of academic health centers, a research methods model is offered with four phases: case study; comparative case study; experimental/quasi experimental; and meta analysis. This four‐phase methodology relies on varying information styles and data streams within the context of exploratory, comparative, and large dataset analysis.

The synthesis of research approach highlights the strengths, weaknesses, and the linkage to system thinking in theory and in practice and are illustrated by the case.

Mixed methods approaches are increasingly sought and used in multi‐disciplinary research and applied settings. The model is useful for examining the multiple effects of the organization environment on a wide range of industries, with medical/health care demonstrated here.

Few models of mixed methods approaches exist – this one synthesizes existing approaches incorporating many types of “data”.

The purpose of this paper is to examine the Houston Police Department (HPD)’s public engagement efforts using Twitter during Hurricane Harvey, which was a large-scale urban crisis event.

This study harvested a corpus of over 13,000 tweets using Twitter’s streaming API, across three phases of the Hurricane Harvey event: preparedness, response and recovery. Both text and social network analysis (SNA) techniques were employed including word clouds, n-gram analysis and eigenvector centrality to analyze data.

Findings indicate that departmental tweets coalesced around topics of protocol, reassurance and community resilience. Twitter accounts of governmental agencies, such as regional police departments, local fire departments, municipal offices, and the personal accounts of city’s police and fire chiefs were the most influential actors during the period under review, and Twitter was leveraged as de facto a 9-1-1 dispatch.

Emergency management agencies should consider adopting a three-phase strategy to improve communication and narrowcast specific types of information corresponding to relevant periods of a crisis episode.

Previous studies on police agencies and social media have largely overlooked discrete periods, or phases, in crisis events. To address this gap, the current study leveraged text and SNA to investigate Twitter communications between HPD and the public. This analysis advances understanding of information flows on law enforcement social media networks during crisis and emergency events.

The purpose of this study is to develop an appropriate new product development (NPD) process of Company “T”, a medium-sized firm, by analyzing the existing NPD process and failure cases of the Company.

The proposed research framework is as follows: first, prospective studies of the NPD process are performed using the existing literature and preliminary references; second, comparative analysis between the current processes and a NPD process is performed; third, phase-based evaluations upon failed product cases are conducted with a NPD process so as to identify the abridged steps and root-causes of failures; finally, renewed priorities are set forth by utilizing the analytic hierarchy process analysis and questionnaire analysis upon the above identified causes of failures.

The resulting accomplishments include the establishment of NPD processes that resonates with the current states of Company “T”, which, in turn, ensures the increase of efficiency, the decrease in development duration and the strategy of capacity-concentration and priority-selection.

As Company “T”’s development process is outdated and products are developed without adequate market information research and feasibility analysis, the percentage of failed development project is as high as 87 per cent. Thus, this study aims to develop an appropriate NPD process of Company “T” by analyzing the existing NPD process and failure cases of the Company.

The purpose of the paper is to introduce the dynamic phasor modelling (DPM) approach for stability investigation and control design of single-phase phase-locked loops (PLLs). The aim is to identify the system instabilities not predicted using the existent analysis and design methods based on the simplified average model approach.

This paper starts by investigating the performance of three commonly used PLL schemes: the inverse park-PLL, the second-order generalised integrators (SOGI)-frequency-locked loop and the enhanced-PLL, designed using the simplified average model and will show that following this approach, there is a mismatch between their actual and desired transient performance. A new PLL design method is then proposed based on the DPM approach that allows the development of fourth-order DPM models. The small-signal eigenvalues analysis of the fourth-order DPM models is used to determine the control gains and the stability limits.

The DPM approach is proven to be useful for single-phase PLLs stability analysis and control parameters design. It has been successfully used to design the control parameters and to predict the PLL stability limits, which have been validated via simulation and experimental tests consisting of grid voltage sag, phase jump and frequency step change.

This paper has introduced the use of DPM approach for the purpose of single-phase PLL stability analysis and control design. The approach has enabled accurate control gains design and stability limits identification of single-phase PLLs.

Tourism and hospitality research is frequently cross language in nature; yet, English is the most used language to disseminate research findings. The use of thematic analysis is increasing; yet, critical discussions of the implications of the timing of translation when applying this method are rare. The purpose of this study is to present a model for bilingual researchers undertaking qualitative studies in their mother language who are reliant on their own language skills to translate and overcome language differences, and who are using thematic analysis.

Thematic analysis is a six-phase iterative analysis process during which the main themes are identified and a network of related themes is constructed to facilitate the interpretation of the material. The model is illustrated through reference to a research project carried out by the first author on the role and manifestation of intangible cultural heritage in tourism in protected areas in Iran.

The model introduces translation as an internal procedure within thematic analysis, situating it between the second and third phases when the codes are being consolidated into basic themes. Translation is viewed as a part of the iterative process of thematic analysis.

This model is the first to provide bilingual cross-language researchers with a practical and epistemologically, methodologically and ethically sound rationale for the timing of translation when using thematic analysis. While it was developed on a tourism case study, the authors believe it is applicable to research in other disciplines where cross-language qualitative analysis is used.

The research work provides a comprehensive bibliometric analysis on blockchain in general and with respect to trust and reputation management in particular. The research work also incorporates the research progress in Pakistan in the field of blockchain.

The research study is conducted in three phases in which 9 different research questions are assessed for the time duration of 2012–2020 on a total of 9,314 published studies. The source of the research study is from one of the most prestigious databases, the Web of Science (WoS). The scholarly publication includes analysis on WoS categories, annual publication trends, types of documents, research areas, and collaboration network amongst countries, co-word analysis, top 10 countries and top 10 organizations with respect to research publications. The authors use VOSviewer tool to generate collaboration network of countries and co-occurrence network for co-word analysis. The connecting thread among the research question is the overarching research objective of exploring and understanding research out in blockchain. The authors have conducted the research in three phases. Phase 1 is planned to show various quantitative analysis of blockchain worldwide with respect to all 9 questions. In Phase II, prime importance is being given to the trust and reputation management aspect of blockchain. Phase III is concerned with the findings of 9 research questions with Pakistan as the ultimate focus.

Major findings include that China and the USA are the leading countries as they have contributed the most in research field of blockchain. Computer science emerged as the leading research area. The first research article dates back to 2013 with significant rise in publication trend over the last 4 years from 2017–2020. Trust management emerged as one of the key fields where blockchain plays a pivotal role. Pakistan occupies a position in top 20 countries with respect to research contribution. However, in order to rank amongst top 10 research countries, Pakistan needs rapid technological advancement. The immense rise in research publication trend in Pakistan from the year 2019–2020 as compared to prior 2019 era indicates that due focus is being given in the field of blockchain in Pakistan since the last two years.

The authors have considered WoS data source. Therefore, the study is limited to those published scholarly studies which are present in WoS database. More detailed assessment can be performed by analyzing other data resources. The authors have performed analysis based on 9 research questions. However, other parameters can also be included to perform more enhanced and detailed analysis. All types of documents are included in our research work including secondary studies also. However, some authors might not prefer to include all types of documents.

The paper includes implications for the development of trust and reputation management area of blockchain.

The bibliometric analysis is worthy for scholars, researchers and students to help them make better decision in the field of blockchain with respect to various parameters. The study also serves as a motivating factor to conduct research in the area of blockchain with any language as a medium of research.

The purpose of this study includes two parts. First, it introduces a machine-based method for model and instrument development and updating that integrates large sample qualitative data. Second, a new model and instrument for e-commerce customer satisfaction are developed.

The research occurs in two phases. In Phase 1, data collection occurs with a literature-based quantitative model and instrument that includes at least one qualitative scale item per construct. Data analysis of the resulting data includes factor analysis (FA) and latent semantic analysis text mining to generate an updated model and instrument. In Phase 2, data collection uses the new model and instrument. Data analysis in Phase 2 includes exploratory data analysis with FA, exploratory structural equation modeling and partial least square modeling.

As a result of the information gained by the integration of qualitative scales in the literature-based survey, the final model departs substantially from the initial research-based research model. It integrates many of the constructs known to impact a website and software usability from information systems research into a new e-retail satisfaction model.

The research method, as presented here, offers a strategy for integrating large scale qualitative data for refinement of models and the development of instruments. It is essentially a method of gaining the wisdom of crowds economically while simultaneously reducing the biases and laborious effort commonly associated with qualitative research.

Public involvement is essential in the creation of effective local strategies for the development of a sustainable built environment, yet there has been little research on stakeholder motivation and engagement in the creation of infrastructure-project value, in the entire life cycle of a given project, while different markets show that overlooking stakeholders can negatively affect the success of an infrastructure project. The purpose of this paper is to fill the theory-practice gap that has been discerned, and thus study how early public involvement determines the success of an infrastructure project, which is identified with its value creation (effectiveness, sustainability and utility).

This research entails a combination of methods. A case study analysis allowed observation of the role the stakeholders play and of how the relationships, perspectives, expectations and risks, along with other soft issues, continue to affect projects. The case study required comprehensive examination of project documentation and conduction of interviews. To collect data, focused group interviews and semi-structured interviews were used, supported with direct questionnaire surveys.

The study provides evidence that early public engagement can contribute to infrastructure-project value (effectiveness, sustainability and utility). Practically speaking, the stakeholder analysis performed allowed proposal of a general stakeholder analysis framework for infrastructure projects. It can be implemented at each investment phase of the project life cycle, since stakeholders and their motivation may develop and/or change over time, which necessitates development of proper managerial strategies. The findings highlight the opportunities and the challenges faced by stakeholder management.

The limitation of this study derives from the fact that the sample size was small, which was necessary for an in-depth qualitative research and application of the case study method. The observations were made on a selected case study, within a limited period of time, thus the context of the analysis as well as the stakeholder perception was subject to possible change. The research limitations concern the provisional nature of the information obtained, the cross-sectional nature of the analysis itself, and, finally, the inability to predict all future events. Ultimately, stakeholder mapping was performed for the operational phase of the investment exclusively, while the analysis was limited to identification and classification of the stakeholders, including their relationship with the project.

The research conclusions provide useful input for future research on development of effective strategies for management of the shareholders that are related to a given infrastructure project, in order to achieve project success. Simultaneously, from a property perspective, the research has contributed to a better understanding of the importance of infrastructure, on the part of real estate stakeholders.

Application of the approach proposed in the study may contribute to early development and implementation of appropriate trust-building processes. The building of relationships between stakeholders enables checks and balances, promotes short- and long-term project benefits, and increases the value of a project.

The novelty of the research consists in the connection, as part of infrastructure projects, of the theory of consumption values and the concept of an investment cycle with the framework of stakeholder analysis.

To provide a unified analytical tool for the theoretical and practical analysis of four‐phase systems under sinusoidal condition but also under dynamic condition and to understand the contribution of each sequence components on the energy and air gap field points of view.

Starting from the general procedures of analysis for the n‐phase symmetric systems, the analysis of four‐phase system is first developed in the phasorial domain, then, with reference to the asymmetrical sinusoidal conditions in terms of symmetric components. As a complement to what is already present in the literature, finally a formalization of the four‐phase systems in an instantaneous form based on the Lyon and Clarke‐Park vectors is proposed. Furthermore, a particular emphasis will be given to the physical meaning of the involved quantities, to their link with the three‐phase quantities and to the instantaneous energetic interpretation.

Four phase system presents the existence of the pseudozero‐sequence component which is an additional descriptive variable of the four‐phase configuration, absent in the three‐phase system. Pseudozero‐sequence component results completely independent on the need for a neutral wire. Knowledge of the Park vector is as much as necessary to generate the field in the air gap.

The four‐phase systems methodological analysis presented in this paper is very helpful for the formalization of the theoretical and applicative methodologies necessary for the development of four‐phase systems in a systematic and unified way.

The four‐phase systems analysis is presented in this paper both for the sinusoidal and the variable conditions. Furthermore, the role of the pseudozero‐sequence component, not present in three‐phase case, and its implications in circuital terms have been investigated with attention. Finally, the energetic side and the definition of the correspondent instantaneous and average powers have been investigated as well.

The purpose of this paper is to propose PlaceMaker as a method of urban analysis and design which both detects elements that do not feature in traditional mapping and which constitute the contemporary identity of the places, and identifies appropriate project interventions. In order to illustrate the method's potential, the final results of experimentation carried out in the Ramblas in Barcelona are presented.

The proposed method gathers, processes and reconstructs the data deriving from nominal, perceptual, graphic, photographic and video surveys, and compares these data with those provided by an analysis of expectations, an analysis of traditional cartography and two questionnaires administered to local inhabitants. The information collected during the phases of analysis constitutes the basis for constructing guidelines for sustainable design and planning. Two final complex maps – the first of analysis and the second of design – respectively, represent the identity of places and project interventions.

The design orientations took into account liveability, place identity, safety of this place and user preferences in order to mitigate the impact of globalization and achieve sustainable urban development. The experiment shows that the urban identity emerging in the analysis phases is not entirely sustainable: many factors are contributing to transforming it not only through changes in places, but also in habits and perceptions of the huge flow of people who use the Ramblas. The actions proposed are thus designed to enhance the identity of places, albeit not crystallizing it.

PlaceMaker is an original method which is intended for use as a support tool in integrated sustainable project design targeting place identity and as a tool for dynamic and complex place knowledge. The main potential beneficiaries are administrators, urban planners and designers and, in simplified form, citizens, tourists and place users.