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Showing papers in "International Journal of Business Information Systems in 2018"


Journal ArticleDOI
TL;DR: Examination of the integrative framework of internet banking in Pakistan using technology acceptance model (TAM) with the integration of several risk dimensions and initial trust model found significant contribution of personal propensity to trust, structural assurance, and familiarity with bank in influencing initial trust of people to accept IB.
Abstract: The growing attractiveness of internet banking is contributing well in the success and growth process of banking sector around the world (Xu et al., 2009). This study examines the integrative framework of internet banking (IB) in Pakistan using technology acceptance model (TAM) with the integration of several risk dimensions and initial trust model. The techniques of both exploratory and confirmatory factor analyses are employed to assess the reliability and validity of the measurement model. The structural equation modelling method was also applied to investigate the hypothetical framework with the help of literature's recommended goodness-of-fit measurements. The findings of the study found significant contribution of personal propensity to trust, structural assurance, and familiarity with bank in influencing initial trust of people to accept IB. The findings are beneficial for banks that are pursuing IB in formulating strategies of enhancing user's acceptance of internet banking in Pakistan.

32 citations


Journal ArticleDOI
TL;DR: This study explores the students' intention towards the e-book adoption in Pakistan by using the modified diffusion innovation theory and shows that compatibility, complexity, observability, trialability, attitude and awareness has a significant positive effect on behavioural intention.
Abstract: This study explores the students' intention towards the e-book adoption in Pakistan by using the modified diffusion innovation theory. Student attitude, awareness, perceived innovation characteristics (PIC) are taken as independent variables; actual usage is taken as a dependent variable, whereas intention plays the role of the mediator in the relationship. The data is collected through five-point Likert questionnaire from 620 university students. The confirmatory factor analysis (CFA), partial least square structure equation modelling (PLS-SEM) has been applied. The results show that compatibility, complexity, observability, trialability, attitude and awareness has a significant positive effect on behavioural intention, whereas, relative advantage has an insignificant effect on behavioural intention. Moreover, behavioural intention creates a significant positive effect on actual usage. This study will be useful in understanding the factors associated with the adoption of e-book reading. This work will help the managers to understand the role of PIC in adoption of new product or technology.

25 citations


Journal ArticleDOI
TL;DR: The purpose of this research is to investigate the emerging scientific themes in business analytics through the utilisation of burst detection, text-clustering and word occurrence analysis in top information systems journals in order to provide an insight about the future scientific trends of business analytics for scholars and practitioners in the field.
Abstract: The purpose of this research is to investigate the emerging scientific themes in business analytics through the utilisation of burst detection, text-clustering and word occurrence analysis in top information systems journals in order to provide an insight about the future scientific trends of business analytics for scholars and practitioners in the field. Researchers have gathered a rich set of business analytics articles from top journals which are indexed in the well-known scientific database of web of science (WoS) core collection. The study provides clues, directions, and knowledge-based guidelines on the recent business analytics scientific trends through the utilisation of mentioned algorithms over paper abstracts, titles, and keywords. This study also highlights the most important areas of research and the future research directions that might be interesting to business analysts through an in-depth analytical discussion.

19 citations


Journal ArticleDOI
TL;DR: A comparative analysis of cloud-based hosting versus conventional (on-premise) application deployment has been presented and a specific case of a lab setup has been taken to illustrate the financial aspects of cloud computing.
Abstract: Application of cloud computing in education not only relieves the educational institutions from the burden of handling the complex IT infrastructure management as well as maintenance activities, but also leads to huge cost savings. Along with many industry sectors, education sector would be largely benefited by adopting cloud services. Cloud promises to deliver affordable, reliable and flexible computing solutions to the education sector and enable it to compete more effectively with bigger organisations. The motive of this paper is to analyse the approach that has been followed to identify the benefits and limitations of cloud computing. Specific case of a lab setup has been taken to illustrate the financial aspects. A comparative analysis of cloud-based hosting versus conventional (on-premise) application deployment has also been presented.

18 citations


Journal ArticleDOI
TL;DR: The unsupervised and supervised feature selection methods like document frequency, term strength, chi-square and information gain are compared to produce the best method for the web document feature selection.
Abstract: Nowadays, there is a quick development in the use of internet. The large amount of structured, unstructured and semi-structured forms like videos, images, audio or texts, can be shared and used on the internet by users. The main analysis of text mining is as follows: pre-processing, feature dimension reduction (feature selection or feature extraction) and text classification, clustering on the final features. In this paper, pre-processing is a step, context sensitive stemmer used to remove the stop words, different suffixes by means to reduce the words count. The unsupervised and supervised feature selection methods like document frequency, term strength, chi-square and information gain are compared to produce the best method for the web document feature selection. The classification techniques like latent semantic analysis, genetic algorithm, Rocchio's algorithm and neural networks are also compared with systematic reviews.

16 citations


Journal ArticleDOI
TL;DR: This study proposes a framework of assessing quality of e-governance services from the citizens' perspective to find out the degree of its quality impacting citizen satisfaction and contributes a parsimonious model that can significantly contribute in future theoretical advances in e-Governance quality assessment.
Abstract: Citizen-centric e-governance services are essential to enhance the quality of life of citizens while ensuring citizen empowerment. The present study proposes a framework of assessing quality of e-governance services from the citizens' perspective to find out the degree of its quality impacting citizen satisfaction. The framework is validated through primary data collected from 213 respondents. Confirmatory factor analysis and structured equation modelling are employed to validate the model. The results depict quality of e-governance service and the information being disseminated to the citizens' impact on their satisfaction significantly. The study contributes a parsimonious model that can significantly contribute in future theoretical advances in e-governance quality assessment. The findings can bridge the gap between government initiatives and citizens' needs. Thus, designing high quality e-governance services while keeping the needs and expectations of citizen in focus translates its functional efficacy.

12 citations


Journal ArticleDOI
TL;DR: The study provides the available recent knowledge about information system which is necessary to monitoring the decision maker's intention for adoption of Green IT and sustainability by developing a research model which recognises the important aspects for Green IT adoption.
Abstract: The environmental issues had drawn attention from governments, societies as well as business organisations. Indeed, organisations have put effort on challenging the environment issues. One of the most important logical efforts that organisations put to deal with environmental issues is Green IT which, in turn, leads to enhancement in the organisation's performance and improvement. Using Green IT by organisations will be advantageous to the society. There is plethora of research on Green IT in organisations and the adoption of Green IT from managers' pro-environmental intention was only explored by a small number of them. The norm activation theory and the theory of planned behaviour have been used in this study. The study provides the available recent knowledge about information system which is necessary to monitoring the decision maker's intention for adoption of Green IT and sustainability by developing a research model which recognises the important aspects for Green IT adoption.

12 citations


Journal ArticleDOI
TL;DR: The study results confirmed the applicability of TAM and TPB frameworks in predicting the adoption of internet banking by Pakistani bank costumers and guides the strategic decision makers of banking industry especially of Pakistan to develop strategies that will help to increase the adoptionof internet banking in Pakistan.
Abstract: The use of internet banking in Pakistan is third largest mode in e-banking after real time online banking (RTOB) and automated teller machine (ATM) and it is evolving with an impressive pace and creates its space among other mode of e-banking. Therefore, this study examined the factors that affect the adoption of internet banking in Pakistan through the theoretical lenses of technology acceptance model (TAM) and theory of planned behaviour (TPB). Structural equation modelling (SEM) with the help of smart-PLS was used to examine the hypothesised relationships among the proposed constructs. A questionnaire survey was used for data collection. The study results confirmed the applicability of TAM and TPB frameworks in predicting the adoption of internet banking by Pakistani bank costumers. Practically, this study guides the strategic decision makers of banking industry especially of Pakistan to develop strategies that will help to increase the adoption of internet banking in Pakistan.

11 citations


Journal ArticleDOI
TL;DR: It is the need of time to examine the social media marketing (SMM) empirically to find out the effect of all these mediums of SMM on purchase intention of millennial consumers.
Abstract: During the last decade we have seen an enormous growth of new channel of interaction i.e., social media such as Facebook, Twitter and YouTube, where people can share their feelings, likes, dislikes publicly in the forum. Social media is emerging as a new sophisticated and uncontrollable element influencing consumer behaviour. They have also changed the way now businesses and consumers communicate with each other by instigating a power shift from business towards consumers. Due to a widespread use of social media, publicly as a medium of marketing communication, it is the need of time to examine the social media marketing (SMM) empirically. From past relevant studies three constructs namely eWOM, attitude toward social media advertising and peer communication has been identified and through it, an attempt has been made to find out the effect of all these mediums of SMM on purchase intention of millennial consumers.

11 citations


Journal ArticleDOI
TL;DR: In this article, a conceptual model based on information systems success models was proposed to understand student's usage behavior and satisfaction with clickers in a large undergraduate digital marketing class in a British university.
Abstract: As more and more educational institutions are integrating new technology such as clickers into their learning system, it becomes increasingly essential to have an understanding of students' perceptions about such technology on their overall learning process. The incorporation of clickers into teaching instructions has created implications for teaching practices and student satisfaction. The purpose of this research is to understand student use and satisfaction with clickers in a large undergraduate digital marketing class in a British university. To do so, we propose a conceptual model based on information systems (IS) success models to understand student's usage behaviour and satisfaction with clickers. The data were analysed based on 138 valid responses gathered from the students, where clickers are effectively used for teaching and learning purposes. The results provided a strong support for all eight hypothesised relationships and adequate variance on its key dependent variables in the proposed research model.

10 citations


Journal ArticleDOI
TL;DR: The StrAli-BPM approach was well accepted by the experts who judged it as important and necessary to completely cover the BPM lifecycle and some lessons learned from both evaluations are presented.
Abstract: Business process modelling languages do not usually represent non-functional requirements, focusing only on the functional ones. In order to fill this gap, the StrAli-BPM (strategic alignment with BPM) approach was presented. StrAli-BPM is divided in BLA@BPMN and BLA2SLA: the former extends BPMN to embody non-functional requirements through business level agreements (BLAs); the latter supports the creation of a set of service level agreements (SLAs) based on a particular BLA. This paper describes the results obtained with the evaluation of StrAli-BPM. The approach was evaluated by a proof of concept, based on prototype tools, which enabled us to verify its technical applicability. Moreover, a survey was conducted, in qualitative terms, with a panel of experts. As a result, StrAli-BPM was well accepted by the experts who judged it as important and necessary to completely cover the BPM lifecycle. Some lessons learned from both evaluations are presented.

Journal ArticleDOI
TL;DR: The research paper defines the service agility capabilities (sensing and responding) using dynamic capabilities theory and service dominant logic and reveals how SOA-enabled capabilities are developed to achieve agile services.
Abstract: The research paper explores how information technology, specifically service-oriented architecture (SOA)-enabled service agility capabilities, were developed. The paper defines the service agility capabilities (sensing and responding) using dynamic capabilities theory and service dominant logic. In this research, we present two case studies, based on the services sector. This paper explains, 'how' these capabilities were developed by responding organisations. Based on the research results, the propositions were proposed. Further, the model was supported through thematic analysis. The study contributes towards the knowledge base of agility and reveals how SOA-enabled capabilities are developed to achieve agile services.

Journal ArticleDOI
TL;DR: In this paper, the authors present a case study conducted in one of the leading software companies to investigate the significance and impact of scope creep in the project success and a three-dimensional visualisation of the scope creep on the success of project was brought out.
Abstract: Project management strategies are a part of every organisation as developing high quality customer satisfied software is always one of the challenges for any software organisation. Though the scope creep is known to be one of the factors which influence project success, existing project management strategies do not effectively measure or predict the scope creep. This paper focuses on effective scope creep management which is achievable through a comprehensive analysis of the scope creep and its impact on project success. The paper further presents a case study conducted in one of the leading software companies to investigate the significance and impact of scope creep in the project success. An investigation was carried out on several empirical projects and a three-dimensional visualisation of scope creep on success of project was brought out. This trio visualisation comprises of historical data perspective which leads to visualise the inferences in a pictorial representation perspective. Facts, thus, gained from historical and pictorial data perspectives lead one towards visualisation of scope creep and its management using a mathematical modelling perspective. This mode of visualising the scope creep and its implications on project success ensures one to effectively modulate their strategies in order to develop software products which attain total customer satisfaction.

Journal ArticleDOI
TL;DR: The findings indicated that SMS advertising values and SMS content as well as subjective norm and consumer control have a positive significant influence on consumer attitude and acceptance of SMS advertising.
Abstract: This study examined consumers' acceptance of SMS advertising, as one of the mobile marketing instruments that is increasingly popular in accessing consumers through their mobile devices, by empirically investigating the factors that influence consumers' attitudes towards and acceptance of SMS advertising. A comprehensive model was developed and tested with a sample size of 321 Jordanian mobile phone users, and analysed quantitatively using structural equation modelling-partial least squares (SEM-PLS) method. The findings indicated that SMS advertising values (entertainment and credibility) and SMS content (clarity and relevancy) as well as subjective norm and consumer control have a positive significant influence on consumer attitude and acceptance of SMS advertising. The results represent novel findings that hold important implications and recommendations for future marketing research and practice.

Journal ArticleDOI
TL;DR: This paper uses slice-based cohesion metrics to identify the target methods that require refactoring and uses the concept of aspects to alter the code structure in a manner that does not change the external behaviour of the original module.
Abstract: Software restructuring is essential for maintaining software quality. It is a usual practice that we first design the software and then go for coding. After coding, if there is any change in the requirement or if the output is incorrect, then we have to modify the code again. For each small code modification, it is not feasible to alter the design. These minor changes made to the code causes decay in the software design. Software refactoring is used to restructure the code to improve the design and quality of the software. In this paper, we propose an approach for performing code refactoring. We use slice-based cohesion metrics to identify the target methods that require refactoring. After identifying the target methods, we use program slicing to divide the target method into two parts. Finally, we use the concept of aspects to alter the code structure in a manner that does not change the external behaviour of the original module.

Journal ArticleDOI
TL;DR: The findings indicated that both knowledge sharing systems and Web 2.0 platform positively influence knowledge sharing intention, and the intention to share knowledge has a positive influence on the knowledge sharing practice within organisations.
Abstract: Knowledge sharing has been receiving the highest concern among knowledge management processes. In fact, the practice of knowledge sharing in an organisation is influenced by employees' intention for sharing knowledge. This paper investigates the influence of knowledge sharing systems and Web 2.0 on the individual's intention for knowledge sharing. Likewise, this paper examines the impact of knowledge sharing intention on the practice of knowledge sharing in organisations, particularly in oil and gas industry. Accordingly, a model was proposed, and research hypotheses were developed. Data were collected using a survey method. Measurements were verified through reliability analysis. Preliminary statistical analysis were completed. Then, structural equation modelling approach was used to evaluate the research model and test the hypotheses. The findings indicated that both knowledge sharing systems and Web 2.0 platform positively influence knowledge sharing intention. Besides, the intention to share knowledge has a positive influence on the knowledge sharing practice within organisations.

Journal ArticleDOI
TL;DR: In this paper, the authors analyzed the service recovery strategies associated with customers' satisfaction level of an Iranian private bank by providing an appropriate framework, the relationship between the service failure, service recovery, customers satisfaction and their subsequent behavior is examined.
Abstract: The purpose of this paper is to analyse the service recovery strategies associated with customers' satisfaction level of an Iranian private bank. Therefore, by providing an appropriate framework, the relationship between the service failure, service recovery, customers' satisfaction and their subsequent behaviour is examined. In this paper after a survey on different frameworks in a service failure recovery domain from reviewing of literature, the most appropriate framework based on an Iranian private bank situation has been chosen. Then, the conceptual framework is adapted to the mentioned bank by qualitative case study. Since the main motivation of this paper is to provide empirical knowledge about the service failure and recovery in e-banking, therefore, they are determined and listed based on the frequency rate and the effect on the customers respectively by literature review and field studies in an Iranian private bank. Moreover, by combining two suitable frameworks of service recovery literature and adapted to this bank, a conceptual framework is proposed. Due to the short duration of surveying customers' satisfaction in Iranian e-bank, this paper provides an appropriate framework in order to compensate e-bank errors based on the service recovery literature and field studies on an Iranian private bank.

Journal ArticleDOI
TL;DR: Cognisant computing is introduced, illuminating prospects for businesses, and how 'lean' practices could be integrated to guarantee business success.
Abstract: Cognisant computing and 'lean' practices portend great promises for savvy businesses of the 21st century, with the potential to create huge savings and returns, guarantee global competitiveness, enhance efficiency of manufacturing and process chain operations, and boost financial performance, productivity and products' market performance. Until now, the nexus between these twain paradigms remained blurred, with very little knowledge of how both can be combined and harnessed to ensure business success in the 21st century. The dawn of the Industry 4.0 revolution necessitates that these twain concepts be re-investigated to uncover a possible nexus between them that could guarantee the success, competitive advantage and sustainability of businesses in the industrial revolution. This study utilises the exploratory research methodology due to the relatively new and emergent nature of the domain of discourse. Cognisant computing is introduced, illuminating prospects for businesses, and how 'lean' practices could be integrated to guarantee business success.

Journal ArticleDOI
TL;DR: The study indicates that nine hypothesised factors have statistically significant relationship with agility, and proposed empirical framework has been restructured as per empirical results of study.
Abstract: In the era of dynamic and customised demand, the organisations cannot be rigid. Rigidity can be reduced by adopting agile manufacturing paradigm. The objective of this study was to identify chief predictors of agile manufacturing and to distinguish agile developers and enablers. The survey-based study has been conducted to identify and pinpoint factors of agility to help managers to identify the areas to be focused. A hypothetical agile manufacturing framework has been proposed. The study indicates that nine hypothesised factors have statistically significant relationship with agility. Linear regression model has been developed to recognise agile manufacturing predictors. Linear regression model equation of agile manufacturing has been compared and tested with the mean value of agility. The results obtained from linear regression model and survey was found to be in close proximity. Further using principal component analysis, proposed empirical framework has been restructured as per empirical results of study.

Journal ArticleDOI
TL;DR: A case study in a Thai university that implements ERP system is presented, which shows how selected critical success factors are taken into practice throughout implementation process, and shows software learnability as a significant challenge that causes problems in the post-implementation phase.
Abstract: Enterprise resource planning (ERP) is considered a proven solution that enhances the organisation's structure, which results in better productivity. Nowadays, universities have many reasons to improve efficiency in administrative operations. Therefore, there are a number of universities that aim to enhance administrative efficiency by implementing an ERP system. However ERP system implementation in the university has a high failure rate because of its unique characteristic. Even though a number of critical success factors have been proposed, there is rare example of how to put them into practice. This paper presents a case study in a Thai university that implements ERP system, which shows how selected critical success factors are taken into practice throughout implementation process. A combination of semi-structured interviews and survey questionnaires are used as research methods to observe and analyse implementation process in the university environment. The study shows software learnability as a significant challenge that causes problems in the post-implementation phase. Also, the study highlights an ERP system as the foundation for the development of forthcoming IT system.

Journal ArticleDOI
TL;DR: The results show that the intensity of using Facebook is negatively affected by the three personality traits (neuroticism, agreeableness and conscientiousness) and positively affected by extraversion, meanwhile openness has no significant effect in the current analysis.
Abstract: There is a remarkable increase in the usage of the social networking sites worldwide especially among young people, which has become a lifestyle. This study examines the role of the big five personality traits and their relationship with the intensity of using Facebook in a developing country perspective like Jordan. A paper-based questionnaire was used to collect the data and the WarpPLS 5.0 software was utilised to test the data using a population sample (N = 260). The results show that the intensity of using Facebook is negatively affected by the three personality traits (neuroticism, agreeableness and conscientiousness) and positively affected by extraversion, meanwhile openness has no significant effect in the current analysis. This study also examines the moderating influence of gender, academic study level, college type and age on the relationships between the big five personality traits and the intensity of using Facebook. Furthermore, with respect to the addictive tendencies, the results revealed that the amount of average usage per day exceeds the benchmark of Facebook addiction.

Journal ArticleDOI
TL;DR: Ease of use, security, ease of usefulness, trust and prior IT knowledge are consider critical among 44 factors affecting the adoption of IB.
Abstract: Recent developments and trends in information and communication technology (ICT) have significant impact on financial institutions such as banks. Internet banking (IB) referred to the use of ICT by customers for performing different banking related tasks. The objective of this study is to identify the factors, which are affecting the adoption of IB. A systematic literature review (SLR) methodology is adopted for conducting this research work. Our SLR included 122 papers selected from six digital libraries, i.e., Google Scholar, Emerald Insight, Science Direct, IEEE Xplore, Springer Link and ACM, published between 1999 and 2015. We classified 122 papers in the years, in which they were published, country in which research was conducted and the methodologies used in the papers. Based on the analysis of 122 papers, we identified 44 factors affecting the adoption of IB. Ease of use, security, ease of usefulness, trust and prior IT knowledge are consider critical among 44 factors. IB adoption is still a hot topic for research because the interest of researchers is still there to work on the factors affecting the adoption of IB.

Journal ArticleDOI
TL;DR: Trust is having a major impact on cloud computing adoption followed by perceived IT security risk, technology innovation, risk analysis, management style and usage of technology and industry use are having very insignificant effect on cloud adoption rate.
Abstract: The purpose of this research article is to measure the business performance through cloud computing adoption in Indian industries. Data collection was done through a questionnaire-based survey that was completed by 660 managers from Indian industries. The derived hypotheses were tested using structural equation modelling. The results show that six out of eight hypotheses were supported for cloud computing adoption to measure business performance. The research model has been tested empirically through three phases: exploratory factor analysis (EFA), confirmatory factor analysis (CFA) and structural equation modelling (SEM). The findings are: 1) trust is having a major impact on cloud computing adoption followed by perceived IT security risk, technology innovation, risk analysis, management style; 2) usage of technology and industry use are having very insignificant effect on cloud adoption rate. This research identified 'trust' as a major factor influencing the cloud adoption rate.

Journal ArticleDOI
TL;DR: Using third party encryption server (TPED) will lead to reducing the workload on both the cloud servers and the data owner's machine, and the attackers and the datacentre authorities will be able to deal only with an encrypted form of the data.
Abstract: As the cloud datacentres are exposed to various types of attacks, data theft/leakage is considered one of the vital attacks that may affect datacentres credibility. In this paper, a new technique is proposed to store the user's data in an encrypted form in the cloud datacentre via a third party encryption server. Therefore, the attackers and the datacentre authorities will be able to deal only with an encrypted form of the data. Furthermore, to decrypt the data, they need to know the encryption algorithm as well as the encryption key which is in turn placed on a third party encryption server. In addition, using third party encryption server (TPED) will lead to reducing the workload on both the cloud servers and the data owner's machine.

Journal ArticleDOI
TL;DR: In this paper, the authors explored the existing literature empirically to identify critical success factors (CSFs) of ERP implementation projects out of several contributing factors, and they conducted exploratory factor analysis (EFA) in the context of ERPs implementation in large manufacturing organizations.
Abstract: Enterprise resource planning (ERP) implementation projects involve complex processes which influence operations and performance of companies. It is essential to identify critical success factors (CSFs) of ERP implementation projects out of several contributing factors. In most large original equipment manufacturer (OEM) organisations, ERP systems have replaced legacy information systems with integrated and maintainable software. In an attempt to understand what the CSFs are, why they are critical, and to what extent they are relevant to such OEM organisations this paper explores the existing literature empirically to research the CSFs that lead to the success of ERP, which is our basic objective. We conducted exploratory factor analysis (EFA) in the context of ERP implementation in large manufacturing organisation. The findings of the results provide valuable insights for the researchers, practitioners and managers interested in adopting ERP systems in similar environments, which is also an objective of our research.

Journal ArticleDOI
TL;DR: The paper contributes to the existing knowledge of CSF in ERP implementations by showcasing that CSF have varying importance across ERP implementation strategies, and utilises multi-participant analytic hierarchy process (AHP) to determine the relative importance ofCSF.
Abstract: Enterprise resource planning (ERP) systems have found a wide acceptability among organisations, albeit with a pinch of salt. ERP systems appropriately bring about uniformity in the software across the organisation by bringing all the processes under one umbrella. But the low adoption rates and greater time to value are often reasons for low ERP implementation success rates and even ERP implementation failures. Researchers have chronicled various critical success factors (CSF) that determine a successful ERP implementation. This paper utilises multi-participant analytic hierarchy process (AHP) to determine the relative importance of CSF in various ERP implementation strategies. The paper contributes to the existing knowledge of CSF in ERP implementations by showcasing that CSF have varying importance across ERP implementation strategies.

Journal ArticleDOI
TL;DR: In this paper, the authors explored the factors that explain the intentions of Finnish executives with regard to big data and found significant differences between respondents with big data experience compared to the inexperienced ones.
Abstract: Digitisation progresses rapidly, producing vast amounts of big data. Companies can innovate their business models by using big data and related technologies. Some industries and companies are already on their way towards more data-driven businesses, but for most organisations this is an uncharted territory. The process is first and foremost a business transformation issue. Management leads the change and sets the pace; therefore the attitudes and intentions of executives towards big data are important in the transformation process. This survey concerns the behavioural intentions of Finnish executives with regard to big data. Building on a well-established technology acceptance model we explored the factors that explain the intentions. According to the results, executives intend to take actions that will promote the utilisation of big data. They have either experienced or expect big data to be beneficial to their business, especially with regard to current products or services, streamlining of processes and increasing customer understanding. In addition to the generally positive attitude towards big data, the results reveal significant differences between respondents with big data experience compared to the inexperienced ones. The role of IT management seems to play an important role in the differences.

Journal ArticleDOI
TL;DR: This paper analyses the most important data warehouse design methods, enumerates key strengths, limitations, and presents a new design approach that allows to construct multidimensional schemas from relational models by using the model driven architecture (MDA) techniques.
Abstract: Designing a data warehouse as a support of the decision-making process remains a complex task and a major challenge for companies and organisations. This complexity is principally due to data sources that are heterogeneous and to the absence of a conventional method for modelling the data warehouse. This paper analyses the most important data warehouse design methods; it enumerates key strengths, limitations for each method, and presents a new design approach that allows to construct multidimensional schemas from relational models by using the model driven architecture (MDA) techniques. This new approach will be able to produce good quality multidimensional schemas in an automated and standardised way.

Journal ArticleDOI
TL;DR: An extensive analysis of different classification techniques viz. naive Bayes, SVM, and K-nearest neighbour (K-NN) on the basis of dimensionality reduction for detection of thyroid disease is presented to select best thyroid disease detection technique.
Abstract: Thyroid is one of the most common disease found in people nowadays which occur due to disorder of thyroid gland that include hypothyroidism (inactive thyroid gland) and hyperthyroidism (hyperactive thyroid gland) that can take place at any age and in either sex. Therefore their prior diagnosis and detection is very crucial and helpful for the betterment of human life. Large amount of complex data is collected by the healthcare sector in order to identify hidden patterns for effective identification, detection and decision making. Data mining has become a current trend for achieving effective diagnostic result from massive dataset by classifying applicable and unique patterns in data. The aim of the paper is to present an extensive analysis of different classification techniques viz. naive Bayes, SVM, and K-nearest neighbour (K-NN) on the basis of dimensionality reduction for detection of thyroid disease. Results are provided to select best thyroid disease detection technique. The analysis reflected that K-NN is performing better than other classifier on the basis of various parameters. This analysis will help to identify the best algorithm for such diseases and give better preventive options in advance.

Journal ArticleDOI
TL;DR: A system dynamics-based model has been developed for manpower planning and the model estimates the requirement of staff members and executives at different levels under various scenarios that will help the organisation in designing effective strategy to successfully manage their human resource strategically.
Abstract: The purpose of this paper is to analyse the manpower planning process of Indian microfinance institutions (MFIs). The paper describes a model that can assist management of MFIs to deal with the challenges microfinance organisations face in case of manpower planning. In this study, a system dynamics-based model has been developed for manpower planning and the model estimates the requirement of staff members and executives at different levels under various scenarios that will help the organisation in designing effective strategy to successfully manage their human resource strategically. The research methodology is in accordance with the principles of system dynamics. The model has been developed using iThink software and has been validated by computing root mean square error between the actual values of the variables and the model generated values. The study will help the microfinance organisations to plan, manage and strategically focus on manpower planning in its desired direction.