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1 – 10 of over 154000The use of mobile wireless data services continues to increase worldwide. New fourth‐generation (4G) wireless networks can deliver data rates exceeding 2 Mbps. The purpose of this…
Abstract
Purpose
The use of mobile wireless data services continues to increase worldwide. New fourth‐generation (4G) wireless networks can deliver data rates exceeding 2 Mbps. The purpose of this paper is to develop a framework of 4G mobile applications that utilize such high data rates and run on small form‐factor devices.
Design/methodology/approach
The author reviews existing literature of mobile applications development and proposes using network‐related characteristics to create a conceptual framework of these applications.
Findings
Combining traffic symmetry and latency yields a 2×3 framework with six categories that characterize current and emerging 4G mobile applications, such as augmented reality, mobile social networking and m‐health.
Research limitations/implications
With the advent of high‐speed 4G networks, completely new mobile applications can be developed to leverage such high data rates, and a framework of such development efforts is highly desirable.
Originality/value
The framework is developed based on a perspective of technical characteristics because these characteristics intrinsically constrain the kinds of broadband mobile applications that can be developed. The framework should be useful in exploring opportunities of mobile application development and guiding future research in this area.
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Mukunda G. Rajagopala, Shang‐Hsien Hsieh, Elisa D. Sotelino and Donald W. White
Motif User Interface Application (MUIApp) is an object‐oriented graphical user‐interface application framework. It simplifies the task of writing, modifying, and debugging…
Abstract
Motif User Interface Application (MUIApp) is an object‐oriented graphical user‐interface application framework. It simplifies the task of writing, modifying, and debugging window‐based applications by application of object‐oriented programming to the construction and manipulation of graphical user interface (GUI) components using a well‐established window system. The key means adopted in the design include: encapsulation of tedious X‐window programming details, construction of high‐level GUI components using Motif and Xt widgets as the primary building blocks, and definition of collaboration mechanisms between GUI components. Reports that the abstractions and mechanisms provided by MUIApp facilitate the development of graphical user interfaces for applications. Simplicity, extensibility and reusability are the key concerns in the design. MUIApp is written in C++ and runs mainly on top of Motif.
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Michail Salampasis, Dimitrios Tektonidis and Eleni P. Kalogianni
The purpose of this paper is to describe TraceALL which is a Semantic Web (SW), ontology‐based, service‐oriented framework which aims to provide the necessary infrastructure…
Abstract
Purpose
The purpose of this paper is to describe TraceALL which is a Semantic Web (SW), ontology‐based, service‐oriented framework which aims to provide the necessary infrastructure enabling food industry (particularly SMEs) to implement traceability applications using an innovative generic framework.
Design/methodology/approach
The framework builds upon the idea of the Semantic Web and provides an open and extensible underlying platform that allows different traceability interconnected applications to be designed and developed. More specifically, the framework provides a formal, ontology‐based, general‐purpose methodology to support knowledge representation and information modelling in traceability systems. Additionally, it suggests an open application framework based on widely used Semantic Web standards. Finally it provides a set of core services for storing, processing and retrieving traceability information in a scalable way. These components, taken together, facilitate the efficient development of next generation traceability applications.
Findings
Based on a case study which the authors executed as a proof of concept and studying the relevant literature it was found that TraceALL facilitates the development of next generation traceability applications because, from a food safety perspective, it enables all stakeholders in the food supply chain to have an information trail that follows the product's physical trail, but at the same time is cost effective, easy to manage and applicable within a globalised, networked, interoperable economic environment.
Originality/value
To the best of the authors' knowledge, this is the first food traceability system based completely on solid existing standards of the Semantic Web initiative. The authors consider that the inspiring analogy between resources such as those described in the Semantic Web initiative and the core traceability concept of a Traceable Resource Unit (TRU) is an extremely useful concept for developing cost‐effective traceability applications that possess many key requirements, which are described in the paper.
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Andreas Langegger, Jürgen Palkoska and Roland Wagner
The World Wide Web has undergone a rapid transition from the originally static hypertext to an ubiquitous hypermedia system. Today, the Web is not only used as a basis for…
Abstract
The World Wide Web has undergone a rapid transition from the originally static hypertext to an ubiquitous hypermedia system. Today, the Web is not only used as a basis for distributed applications (Web applications), moreover it serves as a generic architecture for autonomous applications and services. Many research work has been done regarding the modeling and engineering process of Web applications and various platforms, frameworks and development kits exist for the efficient implementation of such systems. Concerning the modeling process, many of the published concepts try to merge traditional hypermedia modeling with techniques from the software engineering domain. Unfortunately, those concepts which capture all facets of the Web’s architecture become rather bulky and are eventually not applicable for a model‐driven Web application development. Moreover, there is a need for frameworks which address both, the modeling process and the implementation task and allow a model driven, semi‐automatic engineering process using CASE tools. This paper outlines the DaVinci Web Engineering Framework which supports the modeling as well as the semi‐automated implementation of Web applications. The DaVinci Architectural Layer specifies a persistent, hierarchical GUI model and a generic interaction scheme. This allows the elimination of the hypermedia paradigm, which turned out to be rather practical when building Web applications.
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Adel Ali Ahmed Qaid, Rosmaini Ahmad, Shaliza Azreen Mustafa and Badiea Abdullah Mohammed
This study presents a systematic framework for maintenance strategy development of manufacturing process machinery. The framework is developed based on the reliability-centred…
Abstract
Purpose
This study presents a systematic framework for maintenance strategy development of manufacturing process machinery. The framework is developed based on the reliability-centred maintenance (RCM) approach to minimise the high downtime of a production line, thus increasing its reliability and availability. A case study of a production line from the ghee and soap manufacturing industry in Taiz, Yemen, is presented for framework validation purposes. The framework provides a systematic process to identify the critical system(s) and guide further investigation for functional significant items (FSIs) based on quantitative and qualitative analyses before recommending appropriate maintenance strategies and specific tasks.
Design/methodology/approach
The proposed framework integrates conventional RCM procedure with the fuzzy computational process to improve FSIs criticality estimation, which is the main part of failure mode effect criticality analysis (FMECA) applications. The framework consists of four main implementation stages: identification of the critical system(s), technical analysis, Fuzzy-FMECA application for FSIs criticality estimation and maintenance strategy selection. Each stage has its objective(s) and related scientific techniques that are applied to systematically guide the framework implementation.
Findings
The proposed framework validation is summarised as follows. The first stage results demonstrate that the seaming system (top and bottom systems) caused 50% of the total production line downtime, indicating it is a critical system that requires further analysis. The outcomes of the second stage provide significant technical information on the subject (seaming system), helping team members to identify and understand the structure and functional complexities of the seaming system. This stage also provides a better understanding of how the seaming system functions and how it can fail. In stage 3, the application of FMECA with the fuzzy computation integration process presents a systematic way to analyse the failure mode, effect and cause of items (components of the seaming system). This stage also includes items’ criticality estimation and ranking assessment. Finally, stage four guides team members in recommending the appropriate countermeasures (maintenance strategies and task selection) based on their priority level.
Originality/value
This paper proposes an original maintenance strategies development framework based on the RCM approach for production system equipment. Specifically, it considers a fuzzy computational process based on the Gaussian function in the third stage of the proposed framework. Adopting the fuzzy computational process improves the risk priority number (RPN) estimation, resulting in better criticality ranking determination. Another significant contribution is introducing an extended item criticality ranking assessment process to provide maximum levels of criticality item ranking. Finally, the proposed RCM framework also provides detailed guidance on maintenance strategy selection based on criticality levels, unique functionality and failure characteristics of each FSI.
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Lefkothea Spiliotopoulou, Yannis Charalabidis, Euripidis N. Loukis and Vasiliki Diamantopoulou
This paper aims to develop and evaluate, in “real-life” pilot applications, a framework for advanced social media exploitation by government agencies in their policy-making…
Abstract
Purpose
This paper aims to develop and evaluate, in “real-life” pilot applications, a framework for advanced social media exploitation by government agencies in their policy-making processes to promote public participation and conduct crowdsourcing.
Design/methodology/approach
This framework has been developed through cooperation with public sector employees experienced in public policy-making, using both qualitative and quantitative techniques: semi-structured focus group discussions, scenarios development and questionnaire surveys. The evaluation of the framework has been conducted through semi-structured focus group discussions with public sector employees involved in the pilot applications.
Findings
A framework has been developed for advanced social media exploitation by government agencies, which is based on the automated posting of policy-related content to multiple social media, and then retrieval and processing of citizens’ interactions with it (e.g. views, likes, comments and retweets), using the application programming interfaces (API) of these social media. Furthermore, a supporting information and communication technologies (ICT) infrastructure and an application process model for it were developed. Its evaluation, based on “real-life” pilot applications, leads to useful insights concerning its capabilities, strengths and weaknesses.
Research limitations/implications
The proposed framework has been evaluated in a small number of pilot applications, so further evaluation of it is required, in various types of government agencies and for different kinds of policy consultations.
Practical/Implications
The above framework enables government agencies to communicate with wider and more heterogeneous audiences in a short time and at a low cost, increase public participation in their policy-making processes, collect useful knowledge, ideas and opinions from citizens and, finally, design better, more socially rooted, balanced and realistic policies.
Originality/value
This research contributes to the development of knowledge concerning advanced practices for effective social media exploitation in government (which is currently limited, despite the considerable relevant knowledge developed in this area for the private sector), by developing and evaluating a framework for advanced and highly automated exploitation of multiple social media by government agencies. Furthermore, an evaluation methodology for such practices has been developed, which is based on sound theoretical foundations.
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The development of mobile applications in multiple clouds environment is a complex task because of the lack of platform standards in cloud computing and mobile computing. The…
Abstract
Purpose
The development of mobile applications in multiple clouds environment is a complex task because of the lack of platform standards in cloud computing and mobile computing. The source code involves various proprietary programming libraries for different platforms. However, functionalities are inevitably changed over time, as well as the platform. Therefore, a great deal of development effort is required, when changes need to be made at functional and platform level. This paper aims to propose SIMON, a framework that eases complexity of the development to support software evolution.
Design/methodology/approach
SIMON shields the developer from the complexity of mobile and cloud platforms in the development of mobile applications in multiple clouds environment. The framework uses model of application design to automate the development and support execution of mobile applications in system environment that needs integration to the number of data sources located on multiple clouds. The framework is composed of prefabricated components that support function changeability and platform adaptability.
Findings
The framework is examined with the development of a sample application. After it is evaluated with scenarios that involve changing at functional and platform levels, the result shows significant reducing of the development effort by comparing with the other approaches.
Originality/value
The framework facilitates the implementation of mobile applications in the software system that involves integration to multiple clouds, and it supports software evolution with lesser development effort.
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Gunjan Yadav, Dinesh Seth and Tushar N. Desai
The literature of lean six sigma (LSS) is flooded with frameworks. But to date, there has been no attempt to expose the inconsistencies in the existing frameworks and associated…
Abstract
Purpose
The literature of lean six sigma (LSS) is flooded with frameworks. But to date, there has been no attempt to expose the inconsistencies in the existing frameworks and associated research trends. The purpose of this paper is to critically review 26 LSS frameworks and highlight inconsistencies. The study also helps in analysing research trends and constructs of LSS frameworks, and facilitates new applications.
Design/methodology/approach
It uses Scopus database and finalises 26 frameworks in the LSS domain considering a timeframe from 2000 to 2017, using a structured literature review approach and involving domain experts. It uses a battery of systematic requirements-based questions to understand trends and covers building blocks/constructs also.
Findings
It reveals inconsistencies at three different stages, namely, the framework stage, usage stage capturing existing research trends and construct stage. It also offers details at building block/construct level. Thus, it offers guidance in reducing inconsistencies and possible modifications in the existing frameworks. It not only exposes existing constructs and sub-constructs but also guides about the new upcoming changes in the business influencing the LSS domain. It also educates about the strengths and weaknesses of each framework.
Research limitations/implications
This study tries to reduce inconsistencies, but does not offer new generalised or sector-specific framework.
Practical implications
This study will assist for modification/corrections in the existing frameworks by reducing inconsistencies and will encourage new frameworks to facilitate applications.
Originality/value
This is a unique study which offers frameworks-based review, portrays research trends and guides about constructs of a framework by exposing inconsistencies at each stage. It helps in reducing inconsistencies and offers guidance regarding modifications in the LSS framework considering upcoming challenges.
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Jayanthi Ranjan and Vishal Bhatnagar
The purpose of this paper is twofold. First, in order to understand mobile customer relationship management (mCRM) and data mining application in the mCRM, this paper aims to…
Abstract
Purpose
The purpose of this paper is twofold. First, in order to understand mobile customer relationship management (mCRM) and data mining application in the mCRM, this paper aims to present a conceptualization of mCRM in respect of data mining. Second, the paper also aims to develop the empirically grounded framework of the mCRM from data mining perspective.
Design/methodology/approach
The empirical paper is used to gain a conceptual view of mCRM. Semi‐structured interviews and contact methodology is used to form the main data source through which the major concerns and issues of mCRM are identified. This lead to holistic framework of mCRM. The paper followed the paradigm of natural science research on information technology by March and Smith and Hervner et al.
Findings
The framework identified three critical issues that are categorized as customer care information center, data store and data access systems, and mobile services and technology. The paper on various existing literatures in mCRM strategies and data mining leads to the development of the mCRM framework. The applications of methodology in data mining helped in identifying and exploring mCRM processes. The data mining based framework identifies issues related to customer attrition, customer life time value analysis and customer churn analysis while moving towards mCRM.
Originality/value
The suggested framework would serve as a guideline to all mCRM product vendors and will be considered as a structured consistent procedure for applying mCRM using data mining tools and techniques. The paper explored various studies in the area of mCRM and data mining and shed light on emerging issues in mCRM area. The suggested framework would give an organization, product developers, and management thinker's valuable insights on application of data mining tools and techniques in mCRM application.
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Shefali Arora, Ruchi Mittal, Avinash K. Shrivastava and Shivani Bali
Deep learning (DL) is on the rise because it can make predictions and judgments based on data that is unseen. Blockchain technologies are being combined with DL frameworks in…
Abstract
Purpose
Deep learning (DL) is on the rise because it can make predictions and judgments based on data that is unseen. Blockchain technologies are being combined with DL frameworks in various industries to provide a safe and effective infrastructure. The review comprises literature that lists the most recent techniques used in the aforementioned application sectors. We examine the current research trends across several fields and evaluate the literature in terms of its advantages and disadvantages.
Design/methodology/approach
The integration of blockchain and DL has been explored in several application domains for the past five years (2018–2023). Our research is guided by five research questions, and based on these questions, we concentrate on key application domains such as the usage of Internet of Things (IoT) in several applications, healthcare and cryptocurrency price prediction. We have analyzed the main challenges and possibilities concerning blockchain technologies. We have discussed the methodologies used in the pertinent publications in these areas and contrasted the research trends during the previous five years. Additionally, we provide a comparison of the widely used blockchain frameworks that are used to create blockchain-based DL frameworks.
Findings
By responding to five research objectives, the study highlights and assesses the effectiveness of already published works using blockchain and DL. Our findings indicate that IoT applications, such as their use in smart cities and cars, healthcare and cryptocurrency, are the key areas of research. The primary focus of current research is the enhancement of existing systems, with data analysis, storage and sharing via decentralized systems being the main motivation for this integration. Amongst the various frameworks employed, Ethereum and Hyperledger are popular among researchers in the domain of IoT and healthcare, whereas Bitcoin is popular for research on cryptocurrency.
Originality/value
There is a lack of literature that summarizes the state-of-the-art methods incorporating blockchain and DL in popular domains such as healthcare, IoT and cryptocurrency price prediction. We analyze the existing research done in the past five years (2018–2023) to review the issues and emerging trends.
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